{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "86a00b46",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-07-31T13:17:10.765507Z",
     "start_time": "2023-07-31T13:17:10.759181Z"
    }
   },
   "outputs": [],
   "source": [
    "#!pip install tensorboard"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "2cef7621",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-11-22T13:41:51.804381Z",
     "start_time": "2023-11-22T13:41:51.788386Z"
    }
   },
   "outputs": [],
   "source": [
    "from IPython.display import Image"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "678e0f12-f40b-4dba-8f5c-4cfd13965120",
   "metadata": {},
   "source": [
    "`tensorboard --logdir=./pths/logs --host 0.0.0.0`\n",
    "- 局域网的服务器上执行，终端浏览器通过服务器的局域网ip查看网页日志\n",
    "    - `--host 0.0.0.0`\n",
    "- 这个命令行只能在启动训练后执行，否则如果在启动训练前执行，会导致训练代码卡住？"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9f012b85",
   "metadata": {},
   "source": [
    "## bascis"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a7a7761e",
   "metadata": {},
   "source": [
    "- ATen： “A Tensor Library”, inputs/outputs ，http://blog.ezyang.com/2019/05/pytorch-internals/\n",
    "    - 如下算子（operation）\n",
    "        - relu\n",
    "        - add, mul\n",
    "        - exp\n",
    "        - randn_like\n",
    "            - https://pytorch.org/docs/stable/generated/torch.rand_like.html#torch.rand_like\n",
    "        - sigmoid\n",
    "        - view\n",
    "        - linear\n",
    "            - $y=xA^T+b$\n",
    "        - ...\n",
    "- 其他\n",
    "    - Operation: IO Node\n",
    "    - Operation: prim::GetAttr, a **primitive** operation used to retrieve an attribute from a Python object or a module. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "adb84749",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-11-22T13:54:09.357772Z",
     "start_time": "2023-11-22T13:54:09.349887Z"
    }
   },
   "outputs": [],
   "source": [
    "import torch\n",
    "from torch import nn\n",
    "from torch.nn import functional as F\n",
    "from torch.utils.tensorboard import SummaryWriter\n",
    "from torchvision.models import resnet50"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "5ba12ea3",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-11-22T13:54:25.958510Z",
     "start_time": "2023-11-22T13:54:24.399460Z"
    }
   },
   "outputs": [],
   "source": [
    "# 创建一个 TensorBoard writer\n",
    "writer = SummaryWriter('runs/model_visualization')\n",
    "\n",
    "# 创建一个模型\n",
    "model = resnet50(pretrained=True)\n",
    "\n",
    "# 创建一个随机数据张量来代表输入数据\n",
    "inputs = torch.randn(1, 3, 224, 224)\n",
    "\n",
    "# 将模型和输入添加到 TensorBoard\n",
    "writer.add_graph(model, inputs)\n",
    "\n",
    "# 关闭 writer\n",
    "writer.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7ed2550b",
   "metadata": {},
   "source": [
    "运行上述代码后，你可以在 TensorBoard 中查看模型的结构。\n",
    "- 为了启动 TensorBoard，可以在命令行中运行 `tensorboard --logdir=runs`，\n",
    "    - 然后在浏览器中打开显示的链接。\n",
    "        - 默认端口号为 `6006` (`http://localhost:6006/`)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "54945ca8",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-11-22T13:55:14.566164Z",
     "start_time": "2023-11-22T13:54:36.799290Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TensorFlow installation not found - running with reduced feature set.\n",
      "\n",
      "NOTE: Using experimental fast data loading logic. To disable, pass\n",
      "    \"--load_fast=false\" and report issues on GitHub. More details:\n",
      "    https://github.com/tensorflow/tensorboard/issues/4784\n",
      "\n",
      "Serving TensorBoard on localhost; to expose to the network, use a proxy or pass --bind_all\n",
      "TensorBoard 2.13.0 at http://localhost:6006/ (Press CTRL+C to quit)\n",
      "^C\n"
     ]
    }
   ],
   "source": [
    "!tensorboard --logdir=runs"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "65b30789",
   "metadata": {},
   "source": [
    "## graph"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dd396726",
   "metadata": {},
   "source": [
    "- computation graph：DAG，有向无环图计算图；"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "8e3da839",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-11-19T14:06:17.557508Z",
     "start_time": "2023-11-19T14:06:17.544159Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAApQAAAJmCAYAAADilRAuAAAKqmlDQ1BJQ0MgUHJvZmlsZQAASImVlwdQU+kWx79700NCSwgdQm+CdAIIJIQWQEE62AhJgFBCDIRmR8QVXAsqIljRpSq4FkDWiii2RVEB+4IsAsq6WLCh8i4whN19896bd2bOnF9Ozvf/znfnfjPnAkBW5IrFKbAiAKmiDEmIryc9KjqGjhsEGKAKFIER0OTy0sWs4OBAgNhM/Lt96AbQZLxnOan17///V1PiC9J5AEDBCMfx03mpCJ9C/CVPLMkAAHUQyRtkZYgnuQ1hqgRpEOEHk5wwzSOTHDfFaDBVExbCRpgKAJ7E5UoSACDRkTw9k5eA6JCYCFuL+EIRwmKE3VNT0/gIH0fYFKlBcqRJfUbcX3QS/qYZJ9PkchNkPH2WKcN7CdPFKdyc//Nx/G9LTZHO7GGMOClR4heCRGXkmT1ITguQsShuQdAMC/lT9VOcKPULn2FeOjtmhvlcrwDZ2pQFgTMcL/ThyHQyOGEzLEj3Dp1hSVqIbK94CZs1w1zJ7L7S5HBZPlHAkennJoZFznCmMGLBDKcnhwbM1rBleYk0RNa/QOTrObuvj+zsqel/Oa+QI1ubkRjmJzs7d7Z/gYg1q5keJeuNL/Dynq0Jl9WLMzxle4lTgmX1ghRfWT49M1S2NgN5IWfXBsueYRLXP3iGARukgRTEJYAOApFfXgBkCLIzJg/CThPnSIQJiRl0FnLDBHSOiGc1h25rbWsHwOR9nX4d3tGm7iFEuzGby3sPgBt/YmLi7Gwu0BCAUxsAIL6YzZmcB0BeFYBrRTypJHM6N3WXMIAIFAAVqAMdYABMgSWwBY7AFTCBN/AHQSAMRIOlgAcSQSrSeRZYCdaBAlAEtoFdoAwcAIdBNTgGToAmcBZcAlfBTXAHdIHHoBcMgFdgFHwA4xAE4SAyRIHUIV3ICLKAbCEG5A55Q4FQCBQNxUIJkAiSQiuh9VARVAyVQYegGuhn6Ax0CboOdUIPoT5oGHoLfYFRMAmmwtqwMTwXZsAsOAAOg5fACfByOBfOh7fApXAFfBRuhC/BN+EuuBd+BY+hAEoORUPpoSxRDBQbFYSKQcWjJKjVqEJUCaoCVY9qQbWj7qF6USOoz2gsmoKmoy3Rrmg/dDiah16OXo3ejC5DV6Mb0W3oe+g+9Cj6O4aM0cJYYFwwHEwUJgGThSnAlGAqMacxVzBdmAHMBywWS8OaYJ2wfthobBJ2BXYzdh+2AXsR24ntx47hcDh1nAXODReE4+IycAW4PbijuAu4u7gB3Ce8HF4Xb4v3wcfgRfg8fAm+Fn8efxc/iB8nKBKMCC6EIAKfkEPYSjhCaCHcJgwQxolKRBOiGzGMmERcRywl1hOvEJ8Q38nJyenLOcstlBPKrZUrlTsud02uT+4zSZlkTmKTFpOkpC2kKtJF0kPSOzKZbExmkmPIGeQt5BryZfIz8id5iryVPEeeL79Gvly+Uf6u/GsFgoKRAkthqUKuQonCSYXbCiOKBEVjRbYiV3G1YrniGcUexTElipKNUpBSqtJmpVql60pDyjhlY2VvZb5yvvJh5cvK/RQUxYDCpvAo6ylHKFcoA1Qs1YTKoSZRi6jHqB3UURVlFXuVCJVslXKVcyq9NBTNmMahpdC20k7QumlfVLVVWaoC1U2q9ap3VT+qaaox1QRqhWoNal1qX9Tp6t7qyerb1ZvUn2qgNcw1FmpkaezXuKIxoknVdNXkaRZqntB8pAVrmWuFaK3QOqx1S2tMW0fbV1usvUf7svaIDk2HqZOks1PnvM6wLkXXXVeou1P3gu5LugqdRU+hl9Lb6KN6Wnp+elK9Q3odeuP6Jvrh+nn6DfpPDYgGDIN4g50GrQajhrqG8w1XGtYZPjIiGDGMEo12G7UbfTQ2MY403mjcZDxkombCMck1qTN5Yko29TBdblphet8Ma8YwSzbbZ3bHHDZ3ME80Lze/bQFbOFoILfZZdM7BzHGeI5pTMafHkmTJssy0rLPss6JZBVrlWTVZvZ5rODdm7va57XO/WztYp1gfsX5so2zjb5Nn02Lz1tbclmdbbnvfjmznY7fGrtnujb2FvcB+v/0DB4rDfIeNDq0O3xydHCWO9Y7DToZOsU57nXoYVEYwYzPjmjPG2dN5jfNZ588uji4ZLidc/nS1dE12rXUdmmcyTzDvyLx+N303rtsht153unus+0H3Xg89D65HhcdzpgGTz6xkDrLMWEmso6zXntaeEs/Tnh/ZLuxV7IteKC9fr0KvDm9l73DvMu9nPvo+CT51PqO+Dr4rfC/6YfwC/Lb79XC0OTxODWfU38l/lX9bACkgNKAs4HmgeaAksGU+PN9//o75TxYYLRAtaAoCQZygHUFPg02Clwf/shC7MHhh+cIXITYhK0PaQymhy0JrQz+EeYZtDXscbhouDW+NUIhYHFET8THSK7I4sjdqbtSqqJvRGtHC6OYYXExETGXM2CLvRbsWDSx2WFywuHuJyZLsJdeXaixNWXpumcIy7rKTsZjYyNja2K/cIG4FdyyOE7c3bpTH5u3mveIz+Tv5wwI3QbFgMN4tvjh+KMEtYUfCcKJHYkniiJAtLBO+SfJLOpD0MTkouSp5IiUypSEVnxqbekakLEoWtaXppGWndYotxAXi3uUuy3ctH5UESCrTofQl6c0ZVGQwuiU1lW6Q9mW6Z5ZnfsqKyDqZrZQtyr6VY56zKWcw1yf3pxXoFbwVrSv1Vq5b2beKterQamh13OrWNQZr8tcMrPVdW72OuC553a951nnFee/XR65vydfOX5vfv8F3Q12BfIGkoGej68YDP6B/EP7Qsclu055N3wv5hTeKrItKir5u5m2+8aPNj6U/TmyJ39Kx1XHr/m3YbaJt3ds9tlcXKxXnFvfvmL+jcSd9Z+HO97uW7bpeYl9yYDdxt3R3b2lgafMewz3b9nwtSyzrKvcsb9irtXfT3o/7+Pvu7mfurz+gfaDowJeDwoMPDvkeaqwwrig5jD2cefjFkYgj7T8xfqqp1KgsqvxWJarqrQ6pbqtxqqmp1ardWgfXSeuGjy4+eueY17Hmesv6Qw20hqLj4Lj0+MufY3/uPhFwovUk42T9KaNTe09TThc2Qo05jaNNiU29zdHNnWf8z7S2uLac/sXql6qzemfLz6mc23qeeD7//MSF3AtjF8UXRy4lXOpvXdb6+HLU5fttC9s6rgRcuXbV5+rldlb7hWtu185ed7l+5gbjRtNNx5uNtxxunf7V4dfTHY4djbedbjffcb7T0jmv8/xdj7uX7nndu3qfc/9m14Kuzu7w7gc9i3t6H/AfDD1MefjmUeaj8cdrn2CeFD5VfFryTOtZxW9mvzX0Ovae6/Pqu/U89Pnjfl7/q9/Tf/86kP+C/KJkUHewZsh26Oywz/Cdl4teDrwSvxofKfhD6Y+9r01fn/qT+eet0ajRgTeSNxNvN79Tf1f13v5961jw2LMPqR/GPxZ+Uv9U/Znxuf1L5JfB8ayvuK+l38y+tXwP+P5kInViQsyVcKdGARTicHw8AG+rACBHA0C5g8wPi6bn6SmDpr8Bpgj8J56euafMEYB6JEyOReyLABxH3Hgtos0EYHIkCmMC2M5O5jOz79ScPmlY5IvlIHOSutT4a8E/bHqG/0vf/4xgUtUe/DP+C5PnBnO4pE7YAAAAbGVYSWZNTQAqAAAACAAEARoABQAAAAEAAAA+ARsABQAAAAEAAABGASgAAwAAAAEAAgAAh2kABAAAAAEAAABOAAAAAAAAAJAAAAABAAAAkAAAAAEAAqACAAQAAAABAAAClKADAAQAAAABAAACZgAAAACpdas0AAAACXBIWXMAABYlAAAWJQFJUiTwAABAAElEQVR4AeydB5xU1dmHzyKCgIJYUFEURQSxgiIWxN5QbNgrwd5Nokms0SSWWBITozH2GAEVe8GCBRDF3sUCIkoRVBQBkc43z/F7x7N377Td2d07M//399udmXvPPeW5d+b+73vOeU/V9OnTlzqZCIiACIiACIiACIiACNSSQJNaHqfDREAEREAEREAEREAERMATkKDUhSACIiACIiACIiACIlAnAhKUdcKng0VABERABERABERABCQodQ2IgAiIgAiIgAiIgAjUiYAEZZ3w6WAREAEREAEREAEREAEJSl0DIiACIiACIiACIiACdSIgQVknfDpYBERABERABERABERAglLXgAiIgAiIgAiIgAiIQJ0ISFDWCZ8OFgEREAEREAEREAERkKDUNSACIiACIiACIiACIlAnAhKUdcKng0VABERABERABERABCQodQ2IgAiIgAiIgAiIgAjUiYAEZZ3w6WAREAEREAEREAEREAEJSl0DIiACIiACIiACIiACdSIgQVknfDpYBERABERABERABERAglLXgAiIgAiIgAiIgAiIQJ0ISFDWCZ8OFgEREAEREAEREAERkKDUNSACIiACIiACIiACIlAnAhKUdcKng0VABERABERABERABCQodQ2IgAiIgAiIgAiIgAjUiYAEZZ3w6WAREAEREAEREAEREAEJSl0DIiACIiACIiACIiACdSIgQVknfDpYBERABERABERABERAglLXgAiIgAiIgAiIgAiIQJ0ISFDWCV9pHXzggQe61VZbzfXt27e0Kq7aioAIiIAIiIAIJJpAYgXlWWed5TbeeGPXq1evRANU5URABERABERABESg0gk0TSqAmTNnum+++cb99NNPSa2i6iUCIiACIiACIiACIpAikFgPpc6OCIiACIiACIiACIhAaRCQoCyN86RaioAIiIAIiIAIiEBiCVSMoFy4cGGtT8KiRYtqfSwH1qXsuhxf13rXqdE6WAREQAREQAREoMEIXH311bUu6+WXX671sXZgWQvKKVOmuAsuuMB1797ddejQwXXt2tX179/f3X777db+jK/Dhg1zRxxxhD9m3XXXdbvvvrv705/+5ObNm+eP32OPPdypp54ae/zSpUvdI4884vr16+c4dp111nHbb7+9O/30090XX3wRe8y//vUvR54nnXSS3z969Gh33HHHpeu+xRZbuF//+teOsaXZ7KmnnnJHHnlkut677rqr+/Of/+zmz5+f7TDtEwEREAEREAERKFECRHG55pprXG1EJccccMABjjzqYlXTp09fWpcM6uvYY4891iGOll9+effZZ58VXAzCba+99nIzZsyIPRaBiIhr06ZNtf2IQeD+7W9/c7yP2iabbOJD7zz77LN+Fvpzzz0XTeIuueQS9+9//7vGdja0bt3aXXfddW7vvfeutv8Pf/iDu+OOO7z4PPHEE93FF1/sFi9eXC0NH9q3b+9GjRrlVlhhhRr7/v73v7u//vWvsfXu1q2bW7BggRs/frxDnCKYZSIgAiIgAiIgAqVNACH40ksvpRtxzjnnuHPPPTf9Odsb9A5C1Gy77bZzDz74oH0s6LUsPZR48fAuIibXX399N3jwYPfJJ5944GeeeaZr0qSJe+aZZ2KV/MMPP+yuvfZaL8rWXHNNLzo5UUOHDnWnnXaaGzt2rENMZjJEIWKSMvBI4mmk7HvuucfXZdasWd6zOW3atNgsEMJ4Vbfaait/kjmeE27hk6ZOnepuuOGGGsfiEb3yyit9vddaay134403OlzY1Jt6fPrpp15McmCcUK6RoTaIgAiIgAiIgAgkngACMrR8PZVRMUke0bzCfHO9L0sPpal1BCHePLycoV111VVeNDZr1sy9+uqr3uvH/iVLlrg+ffq4cePGuTXWWMN7SFdfffXwUC8MiZGJEScz9FAi/g455BDvWaSbGU9jaN9//73beuutfbf1gAEDvDfR9puHks/UYciQIa5p01+iOuGt3GGHHXzd8Da+8MILdqivN/sQjYhJPLurrrpqej9v7rvvPoeYRkz26NHDPfnkk9X264MIiIAIiIAIiEBpEsCBRLd1aNk8lXFi8qGHHnLbbrttmEVB78vOQ/nBBx+kXb94+qJiEjp47BCTdAGHrt2RI0d6wUaa448/3kXFJNsPO+ywjMBvueUWLyY7derkjyd9aG3btnUISezee++N9RQ2b97c3XrrrdXEJOmXWWYZLzR5Hx2HSb0Rk9jJJ59cQ0yyHaFrXk4+y0RABERABERABMqDAEIQQRhaJk9lfYhJyi07Qfn00097nlVVVW7nnXcO2abft2zZ0m2wwQb+cyjOwrGaTN7JZOY5pAwzZnI///zz/iPl0uUdZ0wQwgjYTuD2qCF0o+M6LU27du382x9//NHNnTvXNqdFMBuy1RtRioX19hv0TwREQAREQAREoKQJ5CMq60tMAu6XPtWSxvhL5b/88kv/AdE3cODAX3ZE3k2ePNlvsfR8MHHJsax5XYilJjd5jyfH0A3+4Ycfxh4+Z86c9HbKNpGY3pjlTSgEw3GQVu8WLVq4lVZaKUsO2iUCIiACIiACIlCuBExUht3f4aSb8D0M6trNHXIsO0FpXj88hvnEVfr666/TPOw9Ii+ThzGdOPLGymXzhAkT/F8kSY2PVl6NHQVu+Oqrr/wRhYrgAotRchEQAREQAREQgYQTyCUqrfrFFJPkWXaCkrA8GKLwiiuu8O+z/QvD75i3MPQiZjs23Gflsu2EE07wk2/C/XHvrfs7bl8h21ZZZRWfvDb1LqQcpRUBERABERABEUg+gThRGda62GKSvMtOUHbu3Nkz++6773yg8GWXXTZkmPX92muv7fcT2gdxFjehJ1MGBC+nLDyjiMt99tknU9Kib6ds7Ntvv/UBzJnYIxMBERABERABEahcAplEZX2ISSjHzxwpYf4mKFl28MUXXyyoJaxqYxaGA7Jt9hqOX7RtjLu040eMGGGbG+R1vfXWS5djE4PSG/RGBERABERABESgIgmYqLTG15eYJP+yE5TMsCaGJMZqM4QGijOEVzRAOLEciV2JsS9uDe4xY8b42JWkiQrLo446is3uzTff9HEf/YfIP2Z3X3jhhW7ixImRPbX/uMsuu6Rjaf7zn/90cWt4M5709ddf94VE6137knWkCIiACIiACIhAkgmYqKxPMUn7Ey8oCTZuk1yyvc6ePdufT7qpCSqOEaC8b9++fnUbvyH1jwks//nPf9zRRx/t1+Z+9NFHbZfvsib4N/buu+/6mJMWSoig5Kyiw5KQmUQqsSs32mgjfzzrbl9//fV+7W82IE4RdIT1IV7lr371q9ilFf3BBf4j1JDV+6233nKHH354elKQ1Zv4l5nqXWBxSi4CIiACIiACIlBCBBCV/NWnJX4MJfEWt9lmm5wMWB8bIYX169fPnX322Q5v3fvvv+922mknR1BxxOakSZPSeeHB3HfffdOfeXPkkUf65RIfe+wx/8oJYEwkghXPHnkwm5owQVEjziPLLiIsCTT+l7/8xU8M6tixo5syZUpaXNItP2jQIB+sPJpHbT/jHX3llVe86GV1IJiF9V5xxRV97E0LgF7bcnScCIiACIiACIiACEQJJN5DGa1wvp/PO+88h/eRZQbx4OGpQ0wiCLfffnsv/FibO2pMrMGDyJJFNnuaSTqIRUQaYystKLoFCg/z6NKli1/r+5RTTvHCkyUT8XLOnz/fr+XNGuPUq3379uFhdX5PvW+66Sa/ILwtu0i9GdvZu3dvXydeZSIgAiIgAiIgAiJQbAKJXcu7mA1lTOH48eN9lojBQmJMEjR85syZrmvXrs5mTyPM6E7Hu4n4zGYzZsxwn3/+uReTeAkbyqg3gpJ6IzZlIiACIiACIiACIlBfBBLf5V2MhuOlQ1jlaz/88EN6+UNC8lhYHo5HINqEGvNUZst35ZVXdvw1tIV1buiyVZ4IiIAIiIAIiEBlESjbLu/anka6tLfYYgv3xBNP1MiC7uvzzz/fT7Chu3uPPfaokUYbREAEREAEREAERKDSCFSEh7KQk/rCCy/4CTjHHXec22uvvfy4yU6dOvl1vocMGeLee+89n93JJ5/sNt1000KyVloREAEREAEREAERKEsCFTGGstAzd8cdd7iLLrooNg4l3ecsrYinksk+MhEQAREQAREQARGodAISlBmuACa1EAycIOUfffSRD5ZOuB9CEnXr1i3DUdosAiIgAiIgAiIgApVHQIKy8s65WiwCIiACIiACIiACRSWgSTlFxanMREAEREAEREAERKDyCEhQVt45V4tFQAREQAREQAREoKgEJCiLilOZiYAIiIAIiIAIiEDlEZCgrLxzrhaLgAiIgAiIgAiIQFEJSFAWFacyEwEREAEREAEREIHKIyBBWXnnXC0WAREQAREQAREQgaISkKAsKk5lJgIiIAIiIAIiIAKVR0CCsvLOuVosAiIgAiIgAiIgAkUlIEFZVJzKTAREQAREQAREQAQqj4AEZeWdc7VYBERABERABERABIpKQIKyqDiVmQiIgAiIgAiIgAhUHgEJyso752qxCIiACIiACIiACBSVgARlUXEqMxEQAREQAREQARGoPAISlJV3ztViERABERABERABESgqAQnKouJUZiIgAiIgAiIgAiJQeQQkKCvvnKvFIiACIiACIiACIlBUAhKURcWpzERABERABERABESg8ghIUFbeOVeLRUAEREAEREAERKCoBCQoi4pTmYmACIiACIiACIhA5RFoOmnSpMprtVosAiIgAiIgAiIgAiJQNALyUBYNpTISAREQAREQAREQgcokUDV9+vSlldl0tVoEREAEREAEREAERKAYBOShLAZF5SECIiACIiACIiACFUxAgrKCT76aLgIiIAIiIAIiIALFICBBWQyKykMEREAEREAEREAEKpiABGUFn3w1XQREQAREQAREQASKQUCCshgUlYcIiIAIiIAIiIAIVDABCcoKPvlqugiIgAiIgAiIgAgUg4AEZTEoKg8REAEREAEREAERqGACEpQVfPLVdBEQAREQAREQAREoBgEJymJQVB4iIAIiIAIiIAIiUMEEJCgr+OSr6SIgAiIgAiIgAiJQDAISlMWgqDxEQAREQAREQAREoIIJSFBW8MlX00VABERABERABESgGAQkKItBUXmIgAiIgAiIgAiIQAUTkKCs4JOvpouACIiACIiACIhAMQhIUBaDovIQAREQAREQAREQgQomIEFZwSdfTRcBERABERABERCBYhCQoCwGReUhAiIgAiIgAiIgAhVMQIKygk++mi4CIiACIiACIiACxSAgQVkMispDBERABERABERABCqYgARlBZ98NV0EREAEREAEREAEikFAgrIYFJWHCIiACIiACIiACFQwAQnKCj75aroIiIAIiIAIiIAIFIOABGUxKCoPERABERABERABEahgAhKUFXzy1XQREAEREAEREAERKAYBCcpiUFQeIiACIiACIiACIlDBBCQoK/jkq+kiIAIiIAIiIAIiUAwCEpTFoKg8REAEREAEREAERKCCCUhQVvDJV9NFQAREQAREQAREoBgEJCiLQVF5iIAIiIAIiIAIiEAFE5CgrOCTr6aLgAiIgAiIgAiIQDEISFAWg6LyEAEREAEREAEREIEKJiBBWcEnX00XAREQAREQAREQgWIQkKAsBkXlIQIiIAIiIAIiIAIVTECCsoJPvpouAiIgAiIgAiIgAsUgIEFZDIrKQwREQAREQAREQAQqmEDFC8o//OEP7vTTT3fjx4+v4MtATS9XAoMHD/bX94MPPliuTVS7REAEREAEEkCg4gVlAs6BqiACIiACIiACIiACJU2gaUnXXpUXARFIBIGffvrJ3Xzzzb4uJ554omvRokUi6hWtxLhx49ywYcPcyiuv7I466qjobn0WAREQARGoJQEJylqC02EiIAK/EFi8eLFDrGG8T6rNmTPH15NXmQiIgAiIQPEIqMu7eCyVkwiIgAiIgAiIgAhUJIFEeyjnzZvnPv74Y//HpJnmzZu7tdZay+2+++6+yyrujH311VduxIgR7osvvnAc3759e7fuuuu6HXfc0S277LJxh2TctmjRIvfaa6+5N99803377bduhRVW8OVvtdVWbr311qtx3Isvvujr2qNHD7fKKqu4559/3n355Zdu5513dttvv306/ZQpU9yzzz7rqCtdhauuuqrr2rWr22GHHQquYzrTEnxTGw7vvfeeGzt2rOfK+YUzvHv16uWqqqqqUbjnnnvc7Nmz3YEHHuh++OEH9/LLL7tJkya5ZZZZxl8T2223nb8+li5d6l599VX3ySef+OuG7tqOHTu6vfbayy2//PLV8rQP06dPd88995ybOHGi98itueaabtNNN3VbbrmlJcnrtRAGgwYNcnPnznV77723r3dYANfR3Xff7TcdffTRbrnllgt3+/czZ850w4cP9+xIv/baa7utt97abbDBBjXSsgF2pKeNHLviiiv6Y3bbbTfXpk0bfwzMRo0a5fiumFEPGJP3Jpts4jffd999/hxQ96lTp/rv1ddff+1+9atfuXXWWcfVpW3UjWvCzt9KK63kOnXq5HbddVf/m0EFXnjhBT/xjrTY999/72655Rb//oADDvDXEfuGDh3qtx1//PE1rqcJEyb4c962bVt30EEH+XT8y9U2S8hvGaz43nONcc307t3bt9/S6FUEREAESpVAYgXlggUL3PXXX+9v8MDlB5ibIEIRkXfMMce47t27V+PODz7HLFy40N8MOAYBwt/rr7/uBg4c6FZfffVqx2T6gMi4/fbb/bGkIS9uONxcESaIjT333LPaTQex8u6777r58+f7dAgezG5ivB89erS79957HfkjgJo1a+ZmzJjhhSj7zjnnnIwihuPLxQrlwDm9//773UsvveQRIJjoWkWUICbeeustd8opp1Q7Hx999JFn27RpU/f222+7JUuWuCZNmvhXhD7HnHXWWe7JJ5/0Dw2cD/aTL9cZx1x44YWuZcuW1bCz77rrrvPXGXnzoILAJL8PP/zQIejIJ5cVyoC8Z82a5R88onkj6Lj2sCOOOCK627fnr3/9qxeJiD3aOG3aNPfGG2+4gw8+uNoDDwfD55///Kd/KOMzvL/77jvHd4zr/7TTTvOijWuX7xfXs9kHH3zgzwOizoxz8c033/iPVk8+2Hektm3j/F9zzTVeaJMf31Me/j799FM3ZswYd8YZZ7jVVlvNtyesJ+XyGeN7jPG9DevmNwb/+B6zn4fU0HK1jbQjR45Mi1X7LYExv2U88PAwKRMBERCBUiaQSEHJzenOO+/0N8H111/f36AZRM+TPU/4eALxgnTo0MF7FjgB3NBvuukm7ynp27ev9wpyE+TmQlo8nHgkzj//fO89yXXS8Dpww2nXrp0bMGCAL4ubNjdgBOETTzzhvaR4K6OGJwJP6jbbbOO9D3g2MepCvrRv3333ddtuu62/AZKe7ewfMmSIO+GEE6JZltXn2nDAw4SYbN26tTv22GMd1wUi8/333/feLUQlAgKmUUPo4YXCk8k1wTGPP/64F5uXX365Fz/9+vVzPXv2dHifPvvsM3+tIN7w0O23337pLBFQXGeI00MPPdSXh0DjGB5AeHDB48e5z2a1YZAtv1z7qB/14trC+0rbmJyCOMQrt+GGG6a/S+RFWxBdW2yxhdtnn328Fx0hDTcE1K233ur+8pe/+PbDnDGJhODCrrzyyowPRQgyPLk8DPLdwjtfW6PMG2+80YtJBBneT8QaYvKZZ57xHkva8bvf/c5fM1w3PCTcdtttbo011nAXXHBBbYuOPS5T27jeeBjCq0sdOnfu7H8D8IrzfX/ggQc8f3jIREAERKBUCeR2ozRCy/gBRswhxPCEICYxbgLcxPEQ4E3g5m3GDzPdgdxYEJQIB4wuUbwUvCI6EaS5jBsSohXPEx4sugbxXvEZoUAdsEceecThSY0aooTYltSFm7fVn5s6QoS60G1IdypiZKONNvJ1Jh+67UJvTzTvcvhcGw54c/AuI+66dOniuXGOEYEbb7yxxwK7OGOIBMMO6LK1Y+hqxDgf5LHHHns4uko5z4jVzTbbzO///PPP/av9s250BBHDGDh/GN64nXbayb/H45nrHNaGgc+8lv/w0iEmGaqB9xQWeDIRmTBAOJvhiUTwYvvvv39a9NE1zbXP8XSHT5482Q7J+5VzRT1gTn5R72/eGaUSPvXUU76edKvjZSUvzh/XBz0YeI8ZUhA9h4WUUUjauLbhCebhmOuB3yV4myec3xKEPPxpi0wEREAESplAIj2UdCtjeD7ixj3i3cMbxQ0Dsy5KfqgZNxU1bvpsRwzgYbQbfzSdfaZbD8P7aGPFbB+vjNfDQ0kXGJ7Pbt26hbu99yVu7B2CBWP8Fjfs0DtDWZtvvrnfTzvK2WrDgTFtmQxB/s4776RFUDRd3HhXvGQ8EGBx1wPnFO+dCSvSIQpMnIRjYtmH4c0jTwQZYzYRbZmsNgwy5ZXPdhjhvYtanz59vEcPL7kZD3J87/AA83DF9W7GwxBdzLCI+25aukyvjFst1vWNxxSL6y7me4uAI411q2eqU7G2x7UN0c3Drz3IRMtizC3d/XZdRffrswiIgAiUCoFECkq8UVim8Y54AswrRTq8ENz8uIlkuonjDcEYc5XLTNDimYwzPDR0tyMo8XpGBWXcMWxD2FAPbnJ0C+Ll4lj+uOEw6agSrC4cOH94rxHliDa8O7zHcnkFQ7ah4LchCeF+85yRvxlDLhAnCCm8oXEeUUQbnnK6xjNdi+RXFwZWn2K84vXHuJbhh9ijfQhmJpUxXIRuYgQpnkDaxLjfxjbOi3lIM/1O4JlubLPfEn6bmIgXNRO7XMPGP5pGn0VABESgFAgkUlBy48bivINxUO3Gku0GbvuY2MMN3wRDtvzous5kVrfQg5UprW3HU3r22We7Rx991HfXv/LKK44/buB0feFFjfOm2fHl8lobDoxfveuuu7y4Me8YohB2dlOubz52nfHwwvjDbIbYzWa1YZAtv9ruMzGNl59ubMaoYkwUwYPO2FUm2fDHON+OqSEcDBcIvZa1Lbsux/G94zxgVue65FdfxzJRD+PBM9s1w/XNmFA7H/VVH+UrAiIgAvVFIJGCEqHADTlfoWDeJrqWMpkFMsYLGNf1Fx7XqlUr77HJVv6PP/7oD8kmOsM87T0CqH///n6SCN3l3KhtzChdX4cffrgPt2Lpy/W1UA6MkWVyDV5j+CG8reuUmbKIzfo26owxJvawww7LWhwhYXJZoQxy5Veb/TxcmeElDw0vJX+E+cErzMQnhoPQPcsY0LjZ5OHx9fnevvOUwfc+13e6PuuSLW/z5jLEIm6YRHhsUtsQ1lHvRUAERCATgUQKSjwjdGMzFi0fs9mRdDPSFRYXssVCltgEm2z5MoGB8u2YuLTWdW5d6XFpsm2jjgzQ548ZyMwCJbQIY/DiYipmy6uU9+XDAU8UY18xxlLa+MOGbjfXBcYMaeKGmqCtaz3yYUAZdl2bZ66u5XK8fcfwjJn4iebLJDj+CK9js6QZX8pEp0zdzdE8cn0utG30MPCHIKYN+Qj4fOtAOhhn4pErn3C/XTPkRy+ETAREQATKlUAiZ3nb2EUCisfZgw8+6GdR0wWHIUDp9uJHm1AccUbMP4wuu1xm8fOY+BOOobPjGBeF4OQmWIigJFwJYYuiY6kQJsz6xuh2tJu8lVdur4VyoHuTLlk40VUcNboTG8J4cMGLx3UWRhgIy2ZIRdw1E6bhfaEMOMa84XgHo4bIzWaZGFk7CHNlxthJrlNbm9u288q4XybmYDY+0H+o47/atM2+e3G/EwyLuOqqq/zvBCI4auyPGsNi7CGhNoyj+fHZ6siylJkeUEMvcVwe2iYCIiACpUAgkYKSWZt4TOha4+YWGmOSLPQPoUcwRAYzvzHGJ9qkHr8h9Y+Vc+iuo5ssLk6hpbNXxoghHhAyiNZQIDB5ge5XjHoW4sVgxR5u/MTIiwoA88DRJW83V6tPub0WygEBg3hHBCDG7XzwSngneGI2DKG+eBFVgJiMGA81Fg3AysNDfvXVV/vYiIyJy2aFMiAvm0DDEAkbwsF2HkKIC2kWJ5YYTsEYvnAf3dgmKMPoCHjNuT6tm9vy5RURSTux0DvJd8vGKdNFXqjVpm2cCwQgvwe2jjjl0kYeIPkdoBs5nMBnwpnvdjTkF0MQLMQXXHhwMENgWlSAkKHtz/TKAywhqLge7kyFD+L3IzRiel588cU+vme4Xe9FQAREoNQIJLLLG1FFvDt+gLlxI7aYVc0Nwga5EzeQm7IZ3cTcNPFG/P3vf/fBg+ka5Rj+uFmcfPLJ1UL12LHRVwQq48Pw0HBjInQKXku8T7zHo0CIHyYuFGIsRUfwY25OBFXmZsONFGHCqiUYAbat+6+QvEspbaEcOHcIHoQjk0QYM8n1gLhhnCsPH+bZRSQUIvIL5UaYHR5O+GO1HIJU8/CBx5rrDE8qYYgspFWm/AtlQD677LKLn8TFpDVW8KELldnBCLhc5eHFR1AivoizyXHUF3HEtUzsRjNEF+0kLYHDaR/HUG54jHnf7DhmghN8ngUEyI9xg3GB/y19+FqbtlE+3e4sgckKWQhhvvOINNrHdcCqRVw/ZnCgPQxZueyyy/yYXH5LTGjynmUgucb4PeH8MhkLAVrb64plGrk+iO5AmeSJAOeBme89ohd2MhEQAREoZQLLnHvuuZcksQF4PwhTwg8xP+j8GCMa+OFnzGE0diCeClZCQVwgOvnj5sfkHm48Rx11lBeF0bbi8UKEcIMPx+bxnhhxdBXazYAff8QeHkwmZUS7X/EcUS5CN268FDc2brCUhwcIIUB6vE3c5LjxEMuu3K02HLgJI5q4DhD23ODJBwHA9WBea7pkbdYvnmnS4smGb2h4n2zoAWImGrIJLxzDJ9jOfjOuM64LBAHXBX9cZ1ybiFweMvKZAV0bBpTJtcxkLh5qEEVcOzzsnHrqqX4MLvVEfJv4sWsSbx4ceCBCiPO9oPseLzsPT9bVa+1E4OBxhAPl0Ea8a4gfwvHQzuj1z3eGSWbUie8K4y4ReRjjg6kz7GxcoZXFa23axnF8z3goo372vUfUw4SlVq180pox9pIHAqsnvxvmmeT3BS485PGwQju4Vvh9YAwpD7f8xiC4zXK1DWYEMedaRJTze0Zd8bBzXQ8YMMALW8tPryIgAiJQigSqUoKp5mCihLWEGwTCjq5gfpzzMW5e3Ay5KXIDqIvxw89NFTHJTTOXNyjfsuiixZNCHbmhVqoVwoFzYV2udIVHhVBDM+Q64xzyABQVWIXUpRAG5Iu44xiEMuK0EONhhnoj7PLhh6Di+8c1SrisbMfwXeW7wncEkVYbb3tt24YA5NrI51wwM5wxjZnaxHXGQwttLfZ1xvXCQyXnLhvLQs6p0oqACIhAYxMoCUHZ2JBUvgiIgAiIgAiIgAiIQGYCiZyUk7m62iMCIiACIiACIiACIpA0AhKUSTsjqo8IiIAIiIAIiIAIlBgBCcoSO2GqrgiIgAiIgAiIgAgkjYAEZdLOiOojAiIgAiIgAiIgAiVGQIKyxE6YqisCIiACIiACIiACSSMgQZm0M6L6iIAIiIAIiIAIiECJEZCgLLETpuqKgAiIgAiIgAiIQNIISFAm7YyoPiIgAiIgAiIgAiJQYgQkKEvshKm6IiACIiACIiACIpA0AhKUSTsjqo8IiIAIiIAIiIAIlBgBCcoSO2GqrgiIgAiIgAiIgAgkjYAEZdLOiOojAiIgAiIgAiIgAiVGQIKyxE6YqisCIiACIiACIiACSSMgQZm0M6L6iIAIiIAIiIAIiECJEZCgLLETpuqKgAiIgAiIgAiIQNIISFAm7YyoPiIgAiIgAiIgAiJQYgQkKEvshKm6IiACIiACIiACIpA0AhKUSTsjqo8IiIAIiIAIiIAIlBgBCcoSO2GqrgiIgAiIgAiIgAgkjYAEZdLOiOojAiIgAiIgAiIgAiVGQIKyxE6YqisCIiACIiACIiACSSMgQZm0M6L6iIAIiIAIiIAIiECJEWhaSvWdO3eu+/rrr93333/vfvzxR7dgwQK3dOnSUmpCxrpWVVW5Zs2auVatWrm2bdu6du3auZYtW2ZMrx0iIAIiIAIiIAIikBQCVdOnT0+8IkNIfv75527atGlJ4dYg9Vh99dXduuuuK2HZILRViAiIgAiIgAiIQG0JJF5QTpkyxX3yySdl44ks9EThuezSpYtbc801Cz1U6UVABERABERABESgQQgkust74sSJ7rPPPmsQEEkthC79jz/+2C1cuNB17NgxqdVUvURABERABERABCqYQGIFJZ7JODG54oorem/dSiut5LuC8eCVgyEc6dr/7rvvHG2fOXNmtWbBYtlll5WnshoVfRABERABERABEUgCgUR2eSOsXnnllRrd3BtttJHr0KFDErjVex0mTZrkPvzww2rlIJ633nprjamsRkUfREAEREAEREAEGptAIsMGMQEnOnt7yy23rBgxyUWBcKbNocEENjIREAEREAEREAERSBKBxAlKvJPR2dx4JldZZZUkcWuQutBm2h4abGAkEwEREAEREAEREIGkEEicoCTOZGiMmayUbu6w3faetsMgtCijcJ/eVyewePFi9+WXX9bweFdPpU8hgUsvvdSdfvrp7v333w83670IiIAIiIAIZCSQOEFJ0PLQFC7H1ZiIE2UU8tL76gTuuOMOd9VVV7mHH364+g59EgEREAEREAERKBqBxM3yZgWc0JjNXekWZRBlVOl8srW/RYsWfre9ZkurfQ1LYNy4cW7YsGFu5ZVXdkcddVTDFl5AaS+88IJ777333GabbeZ23HHHAo5UUhEQARGoHAKJE5Qspxialh90NWZ1RxmFvPS+OoEjjzzS9evXz7Vu3br6Dn1qdAJz5sxxiEpek2zffPONr+caa6yR5GqqbiIgAiLQqAQS1+Udnd1dLnEm63KWowyijOqSdyUcKzFZCWdZbRQBERABEWhMAonzUDYmDJXdMAQ++ugjN3r0aMda5XgPo/bSSy+5sWPH+hnu2267rd9NN//gwYN9cPcBAwY48njjjTccqyk1a9bMrbPOOm7vvfd2K6ywQrXsnnvuOTdhwgS3xRZbuB49elTbx4SdZ5991o0fP97hhVpttdXchhtu6HbYYQd35513ukWLFjnKIqA8Vpt6hwWy4tGoUaPcV1995eiCZ3xw7969fd3DdLne0/06ZswYZ5Oz2rVr57baaivXvXv3aocSHH/o0KF+2/HHH++iDyZwgU/btm3dQQcdVO1Y+0AazgdxUZs2bepXa9pll118N7WlCV8Jyg9T2vjTTz+5VVdd1XXt2tUzNY50IcPcgvczJviWW27x2RxwwAE+ogP7SYdXkPPxxBNP+IUO1l57bXf00Uf7Y+vSNurJ+WRZ12+//dafe7q0ifNqnLjeuO4mT57s68Y1ST1pB9cF9vzzz/t6wT4a5ov91JF27rrrrm7ddddlk297trb5RKl/XJ+vvfaae/31192MGTMcQ1/WWmstt9tuu8njbpD0KgIikBgCEpSJORWVUxFuju+++27Grk5u4OwPZ7ez9CTbuNkjRBEYeGqbNGnilixZ4gUPs5IvvPBCL9aMJoKT47gRh0Y368033+zFJtsRpdz4CSaPYPv00099cm7qJoRqU28rc+TIkWlxh5ikLGafIxgOPPBAL5osbbZXhC5CGqNeMJg+fbqfkb3pppu6E044IS2I5s+f79ueKT/qAJv27dvHJnn55Zc9D/gus8wyXuBQ57feesudeOKJbr311qt2HA8J9957r68T5wmmMENIs++cc85xyy+/vG83jM3TPm/ePM+czPbcc0+fJyKTuhEm65133kmHErOxsHVp29tvv+1uv/12Xz7t4o8Hig8++MAvqMAMd9giIH/44Yd0PRGetKd58+bpdn/xxRdZGSJYaUPPnj3Tx+RqGwlhw7mmrhjcENkMEeD884DQqVMnv0//REAERCAJBCQok3AWVIe8CXCjRUzuu+++3uOIwEB4PPDAA/7mP2LECLfXXnvlzO+xxx7zYpIxugNS3ia8aIhHxM9dd92V8/hCEiB077//ftemTRt37LHHus6dO3vB8Oqrr7ohQ4b4uuMZxdOYzRCfiAk8hQjHDTbYwHtRER333HOPF2UI12JNHKHeeAe3335778HD6zho0CCHiILRxRdf7AU9dUZs3Xfffb5dnBs8y5wbeLKd/bSVesOAP+p92223eS/kBRdcENt0xDJeZ7zP66+/fo3xxLEHZdmIx5W6IyIPPfTQtFcR0WpeUK6lww47zP3lL3/xOVF/PMt9+vRxhxxySJbcC9uVrW1EJYAPXk1YEZOWsdMPPfSQe/HFF93//vc/d9FFF/l2FFaqUouACIhA/RBI3BjK+mmmci0nAvvvv7/v9mN2MIJwm222cRtvvLFvYj4rCbFeOkt7YojJbt26eWGEV2qTTTbx3h+/swj/EKl4mhDCffv29SIQ7x2eVeqNkMQD+NRTT+UszbymeLsIeE99EW2IN7q8Mbpxi2UMEzj44IO9R5g648k844wzfJkIRDyVZqw1TzsQPnTJ4lFDtFFP2o3hrTOvpB2X65U88MbxkIAQr2sYMTyoeLsRvfCHIX8w3W+//Xx1uDY4b/VtmdrGNcxQBIzZ77aoAx5fhiZwzuHPA4ZMBERABJJCQIIyKWdC9cibwHbbbVcjra0ohFjMZXQbIhjwCCLoohZ6ChFSdTG67+meXW655ap1e1qeNu4uHyFs4aMQb1HBc8QRR7hrr722qGLY6mZ15ZV2mHjF+2hmdaM7F7ETGump22WXXZbujg/3Z3vPGMpide3i4cPLioc37hrafPPNXa9evbwIZjhAfVumtnF+MTzQjOsNDRFqY2XzuWbCY/VeBERABOqTgLq865Ou8m4wAggdjIk0uYxxcBjerroKxlxlMYYTo7ubySpRY/wghhDDe5etPgg8ujuZjHPJJZf4Ln+8q3ju8HiGY/ui5RTzs4XPCcU74ymZGEV3+JVXXulFD3Xjj3PTUHXL1k7EPV5UxG9cfWDPhJ/GNrtmEL7E6YyaxaG16zi6X59FQAREoDEISFA2BnWV2agEzPuEyKtvY3Y0xni5OHFg5SOEmSgUnaVu+3nFc/q73/3Oj8dkwgjdovy1atXKB92mazmcyBQeW8z3VkfjSN54zs4++2z36KOP+lnJdBvzR3cyXmBmOUcn8RSzTvnkhXcSa4jznk99MqWxa4ZzzF8mY8KQTAREQASSQiBxghIvQTjOKpfXJikg67MeIQ/KyebFqs96lEveCDCMruj6Nsa9YczAZnJLNmNsXC4jxA8TW6g7YoOZyfwxI5tJNKeccoojtE592ty5c3320foiHvv37+8I/cOMZOpFnZjRzez5ww8/3Iflqc+6ZcubcZ2YeYWzpW3MfXDEGDeaTYTbtdWYdVXZIiACImAEEico+ZEMb/TcvEwAWKUr7dVu4NbuUr+R0D2LMTmiMYzJPFihXYa1qbeNgaOtceM1a9t+umwZS8cfYwP/8Y9/+O7m4cOHu+OOO85na/XlA+UX67qxrm6bLBJtA+Uy/o8/xCUz3Jl9/sgjj/gxisV4IKpN24iJiTG8oFhm9Sjm6lWExSLUkHl3i1VX5SMCIiAC9UkgcZNyouLRbl71CSHpeUcZRBklvf7R+uFlwwguHT48WLpZs2bZ23p5NQ8eXrQ4UZlpHGZt6s24QoyJQMQ6jLPoA0NcGur0xz/+0Z1//vnp2JmWDqG44447+o+MYTSj+9vEm030sH285uJMN33U8JZbHMxwxjXhf6hbdJwo5TPrG5s9e7aLXstsj3rg2ZbLatM2BCVeVXjHzYaHx29+8xt35pln5mRj9bNrgnBEUUPEE9y9ULPrk7BS0clXllc+14yl1asIiIAINASBxAlK+4G2xiM6Kt2iDKKMSo0PHhiEBjdLQp+EgoKVR4griYXbi9lGbth4z5igwWooYRco7+9MhfkxC+tQm3p37NjRj29EEJJvOO6QMhA2xHN8/PHHrcjYVyZoELYH0UMMzah310QedTTDw2XeWFZbCY9BYOIxxMI22rG8Uk5UeLENYcxEG1b5MSNeInV75plnaogxqxte1fDatWDzzAov1MNXm7ZxjAVOJ9Zk6KmEDTEeqUeXLl2qrURjwjn6PaTtNkEJIT916lTD4a8tzreNc8zEOH1A8IaHAzgh6IndGZ43kj399NM+gD/DCWQiIAIikBQCievyZuJB6E3hBswg9Q4dOiSFWYPWg7ZHRUgY1qZBK1OkwrhZMmMZkUNcQJaho2uYMChMTMHjVqjAKLRqxLK8/vrrfWxEAlgjIvCW4kkMBWaYb23rTexAxAiig9A5zMpmPB/tpWsTr5mFPQrLi74nuDfXA3Vkcg51RtjxGeGCYLKYj3bsHnvs4YORI9wZx0jZzHZGxOXqAmc29A033OAnAyGqaIMt97jPPvtUCzLOkoU8CPDdJUg5QhqxheeONmIss2ldxHzGY8i1TJ5wQehTXxOapMlmtWkbgdqpJ/W64oorPA84IM4473TjR5ehtBintO3qq6/2k3psRSKW8yQgOjwvv/xyH+KINnKuEYK1uZY5hjBQt956q5/YRPxRQichSvGq83vA+TDvdzZG2icCIiACDUVgmXPPPfeShiosn3K4KdJNhLAwwyNCFxdBrCvJuEmZt87ajQfKPCa2rRRfWZkGjxYihTAoiAq8cASc5uGBGyc3TBNa3OzxXmK77767Txu2m+PffPNNf41Y9y/7WW0EQYNHEjFlxkxf1m7mxs+xiCw8QpTJzZzuRgzRQr3MCq03xyEYCaLNdc1MY8pCGOIhpU4DUsHVrZvTyol7bd26tRfiXBcISNjhFUMI075jjjkmvV60HY84Q3QioGAIC4QOAhBvHd5DZm2zCowZ4x3pUj3rrLP8sZwL6st5ghuTa2yNdTuG7y3xJnkQ4LxSL47he4xoRKTFxX7kO83kItJRNwQaXlWO59qnzaEn1MrjtTZtQ+wRaxLjPLCUJGXhPbWlKy2mpk+U+gc/2s61AneuE4Q7XnbyIzQSbcXjyR/d+uQxcOBALzT5TLvMm5lP2xDbPHRRFlzIn+O4lrhuydsmGVk99SoCIiACjUmgKvWDtbQxKxBXNjczQo5Eu4kQF5XiqeQGgkcpNG5gCIFyEtaIGwQdN8fGCueC0GIsJTdxvEOIApa1wwjIHRezsC71Jn+EF0KLc1pbQ6hQdwRYXB3DfBGvCFHKwwtXSLl8DzkWYR12WYf5R98jwGgnD4K5hA+CmIdGuwYKqRvl1qVtiF+Efj7ngjGgCErEYtx3kN8tzgnnA+FXLKN9Nsygsb4jxWqL8hEBEShfAokUlODG+xKuxGGngBsUHjr7US/05mP5JO2Vm7bdkGh7tJub+uIdKwfvZNLYR+uTj6CMHqPPIiACIiACIlDJBH7py0sYBYQTXqBwPCVVRGjFia2EVb/o1WEMlcRk0bEqQxEQAREQAREQgSIQSKygpG0dUwP7GZv1ySef1Oj+LkLbSyILPLBMvpCYLInTpUqKgAiIgAiIQEUSSLSg5IwgpBi3ZTNiK+ksMQGHcCxx47UqiUNDt5WJFhZup1yGVDQ0Q5UnAiIgAiJQWQQSO4Yy7jQwxpAJHIxxY9A/ExuiE3fijiuFbQgXJoQQtBwBzSQBCclSOHOqowiIgAiIgAiIQEkJSp0uERABERABERABERCB5BFI3Eo5yUOkGomACIiACIiACIiACGQjIEGZjY72iYAIiIAIiIAIiIAI5CQgQZkTkRKIgAiIgAiIgAiIgAhkIyBBmY2O9omACIiACIiACIiACOQkIEGZE5ESiIAIiIAIiIAIiIAIZCMgQZmNjvaJgAiIgAiIgAiIgAjkJCBBmROREoiACIiACIiACIiACGQjIEGZjY72iYAIiIAIiIAIiIAI5CQgQZkTkRKIgAiIgAiIgAiIgAhkIyBBmY2O9omACIiACIiACIiACOQkIEGZE5ESiIAIiIAIiIAIiIAIZCMgQZmNjvaJgAiIgAiIgAiIgAjkJCBBmROREoiACIiACIiACIiACGQjIEGZjY72NSiBefPmNWh5KkwEQgK6/kIaei8CIiAChRGQoCyMl1LXA4H58+e7O+64wz399NP1kLuyFIH8CFx77bVu1KhR+SVWKhEQAREQgWoEJCir4dCHhiawZMkSd9ttt7k333zTrbjiijWKX7Rokfvpp5/c4sWLa+zThmQQeOONN9zpp5/urrzyyjpX6NJLL/V5vf/++3nn9dVXX/ljzjjjjLyPiSZcunSpW2mlldx9993nRo4cGd2tzyIgAiIgAjkISFDmAKTd9Uvgsccec2PHjnV77bWX22GHHWoUNnr0aHfuuee6QgRGjUy0QQRyEKiqqnIDBgxwq666qnvggQfcuHHjchyh3SIgAiIgAiEBCcqQht43KIFZs2a5F154wbVv39717ds3tuymTZv67fYam0gbRaAIBFq0aOFOOOEEh7h89NFHi5CjshABERCByiEgQVk55zpxLX3uueccXdr9+vXzN3Gr4NSpU+2tMyFpr+z44Ycf0vv1RgSKSYCHm0022cR9/vnn8lIWE6zyEgERKHsCP7t/yr6ZamDSCMydO9fRnd2uXTt/A7f6ffvtt+7yyy93a6yxhuvVq1daaDKO8vnnn3evvvqqmzlzprviiitckyZ6HjJuei0ega233tq988477plnnnGdO3cuXsbKSQREQATKmIAEZRmf3CQ3bcSIEY7Z3XiDQluwYIHbeOON3SeffOIefvjh9C4m7mDLLLOM69Spk5szZ45r3bp1en9DvJk+fbrDqzpx4kQ/SWjNNdd0m266qdtyyy3TxTPJ6J577nE//vijb8c222yT3scbJpA8/vjjftvee+/tu/tJO3jwYNeqVSt3xBFHuJdeesl9+OGHPi0TRWjvbrvt5pZddtlqedmHyZMnu9dff919+eWX7rvvvvOTSxBCO++8s1tuueUsmX998cUX3ccff+zF+gYbbOCeffZZN2HCBH8c4wepb48ePaodYx9mz57thg8f7r13CPy11lrLbbfddrY74+t7773nx8lSP0LzrLLKKr6M8IEh7mDqBYtJkyZ5T3XHjh3dLrvs4lZeeeW45Bm3wZfrjbG6XDc8rKy33no+L66nqHXr1s1fWx999JFnuvbaa0eT6LMIiIAIiECEgARlBIg+NgwBm2SDeAyNLseTTz7ZLVy40E/EIZwQM3DbtGnjDjroILfhhhvWEEnh8fae/BFXuax3795epOZK98UXX7jrrrvO14vud8QdAvOtt97y4u/oo4/2HlO8poi5//73vw5B0rVrV9e2bdt09vfee68bP368F5u0FaOt7777rs8Tzy3eMcbx8ffNN994cY3AhMsKK6yQzos3CEQmkTB0AHHUvHlz31XLpJIxY8a43//+92755ZdPH4M4oyyEJuMEp02b5uuNEMY7TJ3htuuuu6aP4c2UKVPcTTfd5L7//nu/HQYcy+x8xFmc0a7777/fi0L2Uyaz9b/++msv7mB3yimnpL3QYR4vv/yy50q9aBfHIUg55sQTT8xYZpgH7+FJOCDKhCei/YMPPvB/cD7ppJP8tRUexzns3r27n+3NdSRBGdLRexEQARGIJyBBGc9FW+uZAEIJW2eddWJLQrAhohCTeJTw7HGjj3rcYg9ObURo4ZHKZXjJ4rxU4XEzZszwYgpxc+ihh7ptt93WH/PZZ5+522+/3XsH8faZN7Jnz55e+CBGEHvHH3+8z+61117zYpLJH4cddlhYhH+PAMN7OHDgQC+cqRfePbyXCFpmxOPBNGOcHwIVoXTkkUe6zTff3AvKTz/91Ie/QURR/rHHHmuHpF8ZOtAx5fE77bTTvADGy4m3EpH11FNPOYS2seYc3HXXXV5M4pVFPPOKAMWDyHEY6UJjwhX78SRTh/XXXz/9oDBo0CB/fhC98Iwa7Jj1v/3227vVVlvNn3+OgQN1ufjii3MOeUBk/+c///FikjIOPPBA3yZE8Z133uk4f4888og75phjosX72d5stOu0RgJtEAEREAERqEZAg9Cq4dCHhiBAtyNdny1btnTNmjWLLZLYhogeupTPPPNM71lCUJiHLPagYCPibv/998/5l6kbOcjKd2HT3YvXCoFjApSu6J122sknffLJJ6sJKgQjwhGBhtePLuKHHnrIp0XYxMXcZCfiky5njoUN3ekIOAxByvhRM7yQq6++uq8T7eUYRDdeUQvBxNCBOKPbGI8nHl+8jYjL/fbbzyfl3OB9NcOjiYeS+nAu6OpGxNJFDmPEZ5zhUaR+5NulSxfPDZGK4DbPdKb6bbHFFu7ggw/2x1MW3lziTNJGhCyeylzGmFtEI6w5HyaQ8RhzDjCGCsSJRjs/lCUTAREQARHITUAeytyMlKLIBOwmHXYFh0UgvvC8IQAOOeQQ383bv39/75nCW4dXLZch/opheN3wBGKIyaghfPBy0U3M7HMTInTRU+e7777bDR061HvnEKUIOPNkRvPiM8IuangeEYB4ShFIlIntvvvu/i+ans8bbbSRL5fQTIxLjQr3zTbbrFpXOMcgEBnfyPmhLPMe00WMIQTpMo4ankcmWCH8QjPPbLjN3lM/xLZdC7bdXsNxqbaN62GrrbbyXdF4cuPSWFpeYYUxzhOhHRpts7YyJpa2h2bXZqb6hWn1XgREQAREwDkJSl0FDU7APELh2L6wEnihiAeIGDKBhpDA45XJGxYeX8z3dLXjscOTiTctzqNGfRmrhwiz+lIHZgvjSaPrne5nBFHYZZ1vPc1DR/5x40Ipm7GMiB88mHSd81cboy1YuDIR5WJ4JmtjtJ2ue7zLiG6GDpinOdpNnit/hj9gcRyix9I9jlHmsGHDorvTHktrX5jABKV50827GabRexEQAREQgV8ISFD+wkLvGogAY9uwULREi2ZMYtSYlJOvMXYv7LbNdNy+++6bjnUZl4axhRgCLU6UhMfExceka9XGctI9bkIlPC6f93g8sbDLm8+EtmHMI15IvHCIdMQPos2sUNFmx9mrib9CZ9Vznhnv+Pbbb/vhAIhy6scrIr02ZpOSohyieVFnxCCG9zSbxZ03JjeZwVaC0mjoVQREQATiCUhQxnPR1nokQFcjhgeyvoxxfybkspXBCj1h0PRoWhtjSZdz3ESaMD0TVaLGxBQzJqAQyse8gLY9n1dC32Dhsa+88oqfqU03NOMsCcFkbUFQXXTRRf6YaFe031jAP0Qg3k+EVSE2ZMgQ76FlljTd/8wGt7owHhSxWajhjcVCDnF52Hlj33HHHZdVEMaJfBOjDBUwERtXjraJgAiIgAj8TECCUldCgxMwQRnnGSpWZfbcc8/Y2cPR/KNjC6P7mWGMIX6Z7GKCKJou7jPj/PCUIn4YG8nknAcffNDPyI5Ln22bdfGGMRgRqBhirVhjRuPqwPlinGEh4wnx6DKxCmMsJfE0i2HGwa6hTHkighHaCHEEI/wLMROU8C7knBdShtKKgAiIQDkRqD5SvZxaprYklgDjDPGkEdicv/owvGFMZsn1F52sEa0LK/nQ3YlAYkZwnDGJKOxiJg1dusxKx+hWP+qoo3w+iMBsntO4sY/Ee2T8KBaOY7QuffNK+gT//49xi8Uyi8NI++O6z+M8zYhPhjQgxmxWfFgfq3u4LXwft5+yTaTGeYPD43lv9c7U5c0549zFmbUpl3CNO1bbREAERKASCUhQVuJZb+Q2IzLMY1WI16sxqo1Y22effXzReBdZvSU0JnRcffXV7sYbb/TBxW0fo9zNvwAAQABJREFUIYLodsYzxkQixkBaPsxUzyRkiGsZikrSsfIOYopxpR06dLAi/LKVfBiRWgUmHJPI7OZbb701nc68bekNBb6h/nj8EKm0KxSVlEV8TCzcjhBDrLONOJUmuHklRihjPzHryvcfgn/kiUc3NLYxoQuBn8/kLMIVUQfCT0VFJYxhdOWVV8aGDTIBH539HdZH70VABERABH4hoC7vX1joXQMSINQMAoWxjvl4mxqwajWK6tOnj/cq4llktRxWwsFzSWxGhAeeOCbcmKfQuroRM4y7tC5T8kHcsFpNpq5vupYZ+0gZ5EeQcoYGIKIsTqRVkG79f//7317knnfeeX6MIp49JqyE4/7wcJqAt2MLeWVYAJOLCIFEbEdmbCNsyZdZ8JQVimDyZgwjq+0gHBlHyphJjqF9iF+OIYwSXdhxYY2o7w033OA5c33A2ryuCHNimOYyvLksb8lSl4hyRCXhghD6hIJCrBMKKRxGYHlyDjGuU5kIiIAIiEBuAvJQ5makFPVAgDWZEVqEu0m6IQxZIpBA28x0JnQQXjbEJCKJlW0sRmXY1U1w8bCLOhSYmbq+f/vb3/og3ghtupjpekVQ/eY3v0nHhTRerDnN+EQEEYKOeuGNJD4jotRmhsd1H1se+b4StollCikLrzIzt/HO7rjjjumVgKJ5Ifz69evnV+/BE4lI45wj8s4++2yfHA+mCcXweNqFIEV0UhZpaM+AAQN8mWHabO/32GMPHxDdRCljWvF8MuyCCVmsksN5CQ2hScghgrJH15oP0+m9CIiACIjALwSqUjeb6uul/bJP70SgXgnQ5Uhwa7xrSfdShiCYaYyXC8ERNz4wTJvPezyKF154oU96zTXXpMdsIqLw1OWa0cyB5EG9mERUjDplqzciF9GFl9a8r9nS081tsR7pCs/nGMsPwYmAxVsbNxvb0uXziuiGKaI4WxgguugffvhhLzYR0jIREAEREIHcBKo/mudOrxQiUDQCrPSCDR8+vGh5NkRGdLcigOtTuNFlTBn5iEnajMeN5Qnrs07GFi8twjVfYYgHkLGI/OV7jJVFeo6rq5gkP2OaTUzS/Y6gRMjnWonH6qhXERABERAB5yQodRU0GgFm4dKlyMzduBVoGq1iKrhiCRC8nmEDdJVHu8IrFooaLgIiIAJ5EJCgzAOSktQfAQJy44FidjMTPGQi0FgERo4c6b2TvXr18ut/N1Y9VK4IiIAIlCIBCcpSPGtlVGe6j0899VQflua5554ro5bl3xQ8YYzr40/WOAQYq/nkk0/6APGHH35441RCpYqACIhACRPQpJwSPnnlVHVmRzOxhIkuMhFoDALM7CaskEwEREAERKBwAhKUhTPTESIgAiIgAiIgAiIgAgEBdXkHMPRWBERABERABERABESgcAISlIUz0xEiIAIiIAIiIAIiIAIBAQnKAIbeioAIiIAIiIAIiIAIFE5AgrJwZjpCBERABERABERABEQgICBBGcDQWxEQAREQAREQAREQgcIJSFAWzkxHiIAIiIAIiIAIiIAIBASaBu8T/3bRokVu7ty5bv78+W7hwoVu8eLFia9zIRVkHWbWG27evLkj4HfTpiV1egppqtKKgAiIgAiIgAiUEYGSiEOJkPzhhx+8mCwj9jmbgqhs06aNhGVOUkogAiIgAiIgAiLQmAQS7wKbM2eO+/777xuTUaOVjTeWv7Zt2/qlCRutIipYBERABERABERABLIQSPQYylmzZlWsmAzPGYIaFjIREAEREAEREAERSCKBxHoo8UzSzR01G2fIa5MmidbD0arn/LxkyRI/LjRufCgsaO/yyy+fMx8lEAEREAEREAEREIGGJJBIQcmYybhu7uWWW85PWmlIQA1ZFoKRPybmICrnzZtXrXiYwECTdaph0QcREAEREAEREIFGJpBIF1+cZ7JFixZlLSaj1wGikjZHLY5NNI0+i4AIiIAIiIAIiEBDEkicoLTQQCGESvXK4Ymk7aExSQdGMhEQAREQAREQARFICoHECUoEU2g2ZjLcVknv8VTCILQoo3Cf3ouACIiACIiACIhAQxNI3BhKgpaHhqCqdINBGMQ9yqgU+fz000++2gRxzza5aunSpemxpHhrq6qqSrG5qnMGAgsWLHBMRot64jMkr7F53oL5buq3U91P839y7VdZw7VdoW2NNNogAiIgAiJQ/wQSJyiZjBJa1DsX7quU91EGUUalxgEBce655/pqb7vttu6II47I2IRvv/3WXXrppX7/FVdc4VZYYYWMabWj9Ajcf//97qOPPnLnnXeeXx0q3xbMnTfXDXpmiBs25im3eMkvK2Z1Xmt9d+qBJ7tOa66Xb1ZKJwIiIAIiUAQCievyDj1xtC+b96oI7S+JLKIMooxKohEZKvnyyy+7Tz75JMNebS53AhaxwF7zaS9e6yvvvto99tITXkyuvVoHt3nnzfxvxbjJ492FN1/sZsz6Lp+slEYEREAERKBIBBInKIvULmVTQgQGDx7s6PqUlT8BQmGFkQrM+26viEVi0GazV8e+5t4Z965PcuUpl7l//eYf7k/H/9Hdcf4tbrWVVnM/pryXQ5+/P1sW2icCIiACIlBkAonr8i5y+5RdwgkwJnLGjBnu0UcfdQcddFDCa1sZ1fvqq6/c6NGj3eeff+7joRaz1QzXYAwwApKxwUQs4O/yyy/3ZfGefdnGVM5bMM91adLJNV2mqXto0IPuoaCCq81f2bWpauUmvj7BXfbhZcEevRUBESh1AvRkrLfeem777bd3q6++eqk3p+zqL0FZdqe0tBrUp08fN3LkSP/Xo0cP/2NRSAtmz57txc+XX37ppk6d6sdYrrnmmm733Xd3K6+8crWs8HwNGTLENWvWzB177LHutddec++9954/bsUVV/Rl77zzzn4sH5OGXnrpJTd+/HiHwFpppZXcRhtt5Hbaaacas+6tkI8//tiNGjXKpyeGKPXo3bu3W2eddSxJtdcpU6a4Z5991qenvFVXXdV17drV7bDDDtVirv74448OL26rVq38eFPq9eGHH6br1alTJ7fbbrtVOyYsaPLkye711193MPruu+98Wzp37uxoa1S40db//e9/3mNsYo8hFgy7QOgxiSqTkd4m2fCgwDGwNu8jx9l28iS9GW3E8pl0tVyz5Rx/cWZlLY3bqW0iIAIlTYDfjE8//dRNmDDB/4ZLVCbrdEpQJut8VFxtEJEzZ8507777rhs0aJCfnJHveLrPPvvM3X777ekuVCbsTJw40f+9+uqr7rTTTnMIJzO8Y5SD6GBi0JtvvulFD92sX3/9tf+h4sfq6KOPdrfccosXmpYWL+q4ceP8eE/yjRqieOjQoX4zYpI2IeAQrQceeKAXieExeADvvfdeR9mIKIQXZSBK2XfOOeekl9m0euPRI2TUO++844/huG+++cbXCYF58skn15i09OKLL7oHHnjAizfagiCkHfyNGTPG/f73v0+XQ/0oGw8iAo+6YZRj4hLBiLCNjutlu63sRPpwGVFEK+3DOLf8kTfH8Gfbo+LT7yjwn4lUvJcyERCB8iTA95zftoMPPrg8G1iirdKvbomeuHKq9qGHHuoFzvTp092TTz7p+vXrl7N5iKybbrrJ4dnDo7frrru6tm3bOrx+jz/+uHv//ffdXXfd5f70pz/V8HrhHWNm8Yknnug22GADn8fbb7/tHnnkEf/k++c//9m1adPGHXnkkW7zzTf3nj8EKt5Njhs7dqzr1q1buo6UxWxljsHziYhFMNkxCLoNN9zQtWvXzh/DzPX77rvPp9l3330dM90RoYhJtrOfsk444YR0GbyhzaQZOHCgzw+BiIcV7+UXX3zhHnvssWoz5umyRrQi8KwtCEpEM+UgoqkbdTZDpCNaqT8Cj/QcDzOEJj/k7A/XlGcbYpJ0LVu2THskqS/nh32IyFCEWp682vtwv9WnkNdFixe5+QsJO1blmi/7s4At5HilFQERKB0CeCllySKgSTnJOh8VWZvWrVu7/v37+7YPHz7c0UWbyxBLCDi6ew844AAvJjmGbmYTpKx9jmiKM0TZpptu6rt8EaJ0/3bp0sUnxbtGHttss40Xeoih7bbbzndJk4CyzRBad955pxdgffv29QIVgYQ44niEJPk99dRTdohDtLFtlVVW8V3ViDPEIV3q5IEx8908hOkDU2+OP/54h1cXAYrg23LLLb1HlTR4Q/GMmuGFpEuI8UbWFupl3eqki86wxzNJ3WgznkXaglE/ysTYT7vNEI0Y6UlnhkeVfLBo7FQ+kweCleNoq+VjxxfySuigOT/9PJmnRfNUPZr8Uo9C8lFaERCB0iBgvRGlUdvKqKUEZWWc58S3slevXmnxdffdd3vRkq3SeBYvvPBC9+tf/zotWix9+/btHWMiMbx9ccbA7qghMDEEHkItauaVDPNE/CKOEEU9e/aMHpLOJxShjMfEELxhXmzbaqut3LXXXusuu+yytJhju1nHjh3tbfoVLyrjRfmBRayaMY4URocccohtSr8iXrFZs2alu535bELRuqjZZoa4RAAiEk3skp737ENARs22Wb7s5z1d3YhP9turbY/mkesz5c+eO8fXo1nTZhnHV+bKR/tFQAREQARqT0Bd3rVnpyOLTIAA5wgpRBqeyj322CNnCYgQxkXS1Y13zrxctVme0rpx6baN635lO4aHzmxiaswmhreUCTZRs3GFiEcTXohZJurQTX3llVe67t27+y50BCvCFNFWiCHmENGMwWTSTdRgwXhRxCuM6IrmL2qh5zH0NIbponUzoUgdol5IjjPhGTIj76g3k8/kESdkw/Lj3hPkfOnSJW7Zpsu6Vi1axSXRNhEQAREQgXomIEFZz4CVff4E6Hreb7/9/Lg/xlLieYsTdpYjYxkZP4hIQowg+PjjvQkdEzR2TLFfJ02a5LNk/OewYcMyZo/3kFnmTBxCUJ199tk+VBKzr1955RX/h7eOLnLGg8Z5UDNmntqBoMXCLm8+P/PMM767HY8gLBHNiLdQ4Bmj0FsKw3zMOJNfnKAM8zBBzTbzXIb7o2I13JfpPXkuWPTzxJ4WzX8W/JnSarsIiIAIiED9EUicoORmazcpms2NKpuoqD80yck5vPlTq0zeo+TUuPY1IcwO3jTC9TDrm8kkcUaIoFtvvdV72mxii3kYSf/HP/7Re+zyFUZxZeSzzTxqdJczVjGb2RhE0iCoGDfK+E/a+sEHH/iJREyyYcb24Ycf7rbeeuts2VXbZ2F3wjIQqsT3ZFY2M9c32WST9PAAPKYXXXSRz8MYhfxC8VetoMgHO5ZucGMRSZL+aGnTG4rwxr4b5L1MSjDLREAEREAEGodA4gQlN9pQUPK+0gVlyIPLJM670ziXT/FLRRggIgl0zSw+wvHE2VtvveXH4SG6GCvYWLbaaqv5oulCxrtYqHFtMx6UP8Qls8VpMzPOGVearwizru4w9iZhgTCEK93qucy8u4jJfAVl+N20CTi5yinm/ibLNHGtW7UuZpbKSwREQAREoBYEEvdIH+32ihvrVYt2lvQhUQZRRiXduJjKE+B7n3328XuINRZndDFjcSKGrmUbSxl3bDG3WdByZlQTEzLOouM5b7vtNnf++efXGHOJeCRAOUbAdhOJYZ7Ra4F906ZN8zEveb/WWmvx4i0bo0yz3837HVcOmeIJZSKPzbC09Hw2b+HPpf/yH3FaX5YKOuRndGtWd30RVr4iIAIikB+BxHko8ZKEa/3inePmVs5euWynirZHPZQwKndjRRq8kExcMQuFicV0ZAwiHspw5jTxKU3E5VoX2vKu7WvH1KzrzTbbzE8MujMVPojYkTbDnDyJW4mA3HHHHdMied1113XEvWR8I7O6CZtk9sYbb/i3PDQwpjRqBHI/9dRT098HhPM999zjPYp4OTt06JA+BEa0f8SIEX7SD2MnMWaCM1zAjDTGj3IRh4y5RKybYCQt27gWEb4m5NnPe46hLublXHneHNdu3my3XGqZxMXM6G76czors5ivTMgh9mS+3txilq28RKAxCKTiKrj5qeD9M5q3ctNatHZLqhLnG2oMLCqzkQkkTlByc+KmZIIAPhY02W5ijcyswYrnJm2zhK1Q2FQCB7pS6fq+6qqr0t4wY8Ar4xVZghAxxHhJhB2TQhhbycMH4gl2eO/q21iDnFnmiF9mqRPYnPGIhAqifMY1Wpge6kI3PTPTEXYXXHCBr/saa6zhu/itvsTBDLuTrQ3MKmfsI2VwHRCknAcw2suEptD23HNP9+9//9vne9555/mJPngtmbjD5CAzyjRBiUBkLCTiEW8kZVAPHmxM0IfjNMmDz6RdZuECt9XkL1yv2dNc20UEGJeJgAjUN4H5qZirY9us4Ua36+RmamJafeNW/lkIJPKxxmashvXG+5GpGy5MVy7vaWtct20cm3Jpc7QdhMLJFDoIL+AZZ5zhA5sjdBBvrEON9+93v/ud23jjjX121u0bzbuYn/EkItgQuXjJmFjz8ssve6HHuEpmdFMvMx4KzjzzTB9MHSFH3UmPsMOryMo1eDTj7Le//a0PEYQgxTtL9zPB3H/zm9/UWDOcMEQEQmdcJdcTQcwR4MTYRJTatRRlhDiljghJ81bCGLHJBJ/oAw1t7rlotjtvyptuz++/kJiMO3HaJgL1RKB5Kqh/9+8nu1M/HeV2+epjV+U99vVUmLIVgSwEqlI3k/ob4JSl4Fy7uPExEzVq3NTwQPEa58GJpi+lz4xBsy7+aDc37UC4hDNxS6lt9VlXvNmMN2TlGevWrc/ycuXNdYuHD3GYTzcs3j2OQSTHnV88igQox6655hrfRgQi4yARpFGPYVz9yANOTCLiu5PJ8LBGjesy23dth2njXJ+vx0cP02cREIFGIPD58iu7oet0T3WJ11xooBGqU69F0sMjSw6BxHV5GxpurNzIwvGU7ENoxYktO65cX/EmxYmNcm1vIe3Cm8ZfUixu7GO2uuH1468Q46EKz2S+hlgNx3bmexzpsonJXt98LjFZCEylFYF6JrDunBnuoC/edoPX7emWpnoPZCLQUAQS2eVtjWeyQqE3Zzu2nF5hEE7cKKe2qS2lS6DDj9+53VJdbDIREIFkEVgvJSp3mD4uWZVSbcqeQGI9lEYerxzdmHgqw4k6tr+cX/G64ZmMjlkr5zarbaVDYPepqfFaWao7NTX7dPpyrd3C1KSBYtnCxYvc4tSYsXysSWrma7PUcoyy+iewbGoi17KpCVzz5s9zSxb/sjRp/ZdcmSU0SY1pbrtgrlsn9VDXNMOYyW1SvQdvrdTBzWrWojIhqdUNTiDxghIiCComFiCuEJXM5mUMWbl1fdv4UEK3ICYlJBv8+5DIAulyDgOWJ6GS68/62rX/6YfYqnzfrKV7Zas93NTlV/Kz7uMSMbaUGJ6MNWVmfrHtr3/9qx+Xylrp9WmEfWJVowcffNBliplan+U3dt6MEz7qqKPS4aoefvjhjIsRNHZdy7H85RfOc32nfOi6pL6PUUNobvfNBPfkmhtFd+mzCNQLgZIQlNZyBJa6fo2GXiuFANf8pZdemqjmbjTzq9j6zG7a3N2/+a7u95de4cMMEbaIoO9RYwzoWWed5WfmExoq6Wa/PYSiaqieEkI7wYkJWxayKUmceCgwMUlkg7FjxzrCWskajsCcZZdz963Twx068U23weyaCyt0S31Pn2zfLRWmNVtfQsPVVyWVN4FEj6Esb/RqnQiULoG1U11tcTZytc5u7v93sSE4Dj300JxrfMflk7Rta6+9tg+1lCmMVX3UF7FGeKd8ZvHXR/m58mSSF4H0Cdd1xx13uFdffdVFQ1DlykP7i0Ag9T3DC7kkZgBKy8UL3arz5xShEGUhArkJ1M1DyZJqX6TChXz+qXMzZ7iqVGBjWYkQSP0ILV22mXMrt3Nu3S6pNfs6lkjFVc3GJtAkFX2hTaqrLc7Grri6ax7soKu+b9++jq5QWXkRsAmTBOiXNS4BxklObrmiW3tuzVB7K82f675Z7peFDBq3piq9nAnUTlCmBl67Yfe5qmceclXf1XSzlzOwcmpb2AmydLU13dK+Bzu36/4MWi2nZqotRSbQfMmiGF+Icz+lloIj9p0JSjxXrLrTp08f98477+TdHcoxLCPJH3E2WYWIZTgzeb8I1N6lSxfH2ONJkya5UaNGZWwxk/wI+E7AecZhE1Qez1qmdcjpdt51113TQeDXX399d8ABB/hu/A8++KBaOQTi32KLLRyrHjGJcMyYMek11sOEjB2lDoR9Yjw4KywR2J4g8hjjMtnH+ERs77339vseffTRjOPG8ZyS1yuvvOJ69+7tPYeMTx0/frx77bXXYrvMyZ8VnDp16uS71emyZqlQM0JZsazpl19+6WOessITPFj+k4cEYppiBO2HCW1+/vnn7XCfFs6cR7zVkydP9vWLLthgXl8YENAffg899JAfWkD5CFaOpXwYUw71hD/jizn/6623ng+rxuIAL7zwgl+5KV2R1BuGDmy77bauY8eO/jr55ptvfF24RvOxXOeMPEjTo0ePNO98roV8ys43zcyUqIwTlHxfZSLQEAQKVw5vj3FVN13pqlIeSVn5EKiaPsVV3XGdW5p6UFh6+sXObfDzSjPl00K1pFgEUr7t2KxS4c+rbUfQ4Jk85ZRTfNf3tddemxZN1RIGHxCTrFXOzZlg9QR979q1qxca999/v18dKEjujjjiCNezZ0+fLyIBAYPAiAvejreUVYsQld9++60fj82xiICbb745diUu6sMyl7xidPPyObroAgJxn3328ZOMEE+IMYThDTfc4Je+tDrvsssuXowhYBFJCFTKpx7/+Mc/fDsQVJRhXd0IPgsun2kiYq9evfwkPkQXIpz2IRhhQd3uTK0zH47DZCWpgQMHeqGHqCINQhRB+Nhjj/nqItB5GGA/edo67+xEwJmH0pjA34yyWQ2KyYUczxjU7t27+9Wk6B5H+JtRdyJ5sN9EKuvcU1/KhxFlwIA/RPA222zjHnjgAX+++Ux7qQ/vaTOTsWzZWjgyXpe8Z8+e7YUq1wkrW91zzz1eAFpd4l7zOWccR/7Ul7pyzXL9Z7sW4sqqy7YlqesuzqroSZSJQAMQKExQPnGvq/rfv1JLO+kCbYBz0yhFVE1Pzbi99Ay39JTznOu9e6PUQYWWDwHWGsdrhtDZbbfd3JNPPpm1ccccc4xjvCI3ejyHGCsgnXTSSe6QQw7xHkXEA7bJJpt4ITZhwgR32223eaGA8DvssMNqrFKEsDnxxBP9Df6mm27ya6AjNPbaay8vpLbbbjs3YsQIn2/4b8aMGX49eQQUS32+8cYb3nsWpuE9AvCuu+5y77//vi9jhx12cPvuu69fXpP6YYgsRCez2q+//noveKgvs8Q333xzz2j06NHukUce8ekR4nj3/vnPf+Y1EQjvIV47VlPC28lnuG266aZus802815iMmbc49FHH+09j/fee68XfDCmHjvvvLNPFwo+BO7IkSP9LHYT0v/617+8Z/P00093b775ZjUmCHZYY9ddd13aS4uIGzBggJ/Iw0SsUBxzLijz7rvv9nwQkxbZgPLZ/vbbb/s8EY3HHXecO+igg5ydH0QrIp4xu1wXiFTqjOH1ROwhUp966ikvVGGAyOzfv7/3fpt32B8Q/Mv3nAWHeFGb61oI0+u9CJQLgeouhWytGv2Ma3LX9RKT2RiVyb6qRQtd1Q2pJfjef6NMWqRmNCYBBBLdlHh66LLMZKuuuqq/GSOKTEySFgGJdxIvl3WPsh3RhrHPZl7jFRo0aFANTygeOcQB+bKmOYKFYxAZeL0QlHUxPHvMdCZf8qO7G8FkHjfyZt/gwYO98DTvGfV96aWXfNGInLoYeQ4dOjTddrxxzz77rM8S76MZnjmE7NNPP+3FJNthbAKMruHQGBaApxnxRttyGYIOMTh8+PC0mOQYuqkZjsB5oDs4NDj897//9V5byoCVGV3xDHlgG39cHzb84bnnnku3AW82Dy/Y6quvbod77yofiDZg+SJeYYWAN09w+oDgDekLPWf5XAtBEXorAmVDID8P5dQvfTd32bRaDclJoIrg0X+/yC29brBzrdvmTK8EIpCJAEIH0YdXCS/Y3//+99ikjG/DEGZRQwQyRjBcbhLRgMcM71RoCLmoKKELHWP9c7pQQ0OcIHIYj5ePYAqPtfeIt9Bo86xZs6otCUqXMH90x9NWukbxnOLRw6xbPcynkPe02wSTHWciCg+kGR5g6odXLmSBqKP9YVqOibbN8sn0aqzffffdGknYxpjUtdZaq1pXM+NZ7aEgehD7osa4WsT6xIkTq+0yoQlXMwQo3eAHH3ywQ4B+/PHH/tyEDy2WNvpam3MW5RV3LUTL0WcRKAcCeQnKqiH/yTqDe2nnVODU1Ji7pS1aKd5VqVwVqSfvqjmzUm6Dd1wVM/VjrOrH1E3ygdTYq1/9OmavNolA/gS4qeNlYrzgTjvtFBsEHJGBzZw5MzZjxKOJHcQXXZzhuL3Yg/5/o+VNd3gmI95nprIzHVPodjxz/fr185N8EMiIqGxrpReafzQ9XjsmqiC+EbJ4eRHPjO1jrGqcIXTrYnhaEaYI6qgZXzuP0f35fjbhbK/R48LtiFi6zPfcc0//QMM+vK5cj0wECtNG8+FzQ5+zuDpomwiUAoHcgnLSBFf12s9jUaINWtp2Fbf0rEud23Cz6C59LgEC1qm09I3RrurGy5wXkNF6D0+N5+o/QF7KKBd9LpgAq8kwJpBua7xEUTMPVSZPHV2TJlLwWuFhs3F20byin22MHIHW7X00zZw59Ruvj8k1TCJCzDCOE6GHIa4uuOCCaHWK9pkZzngf8WAiJBFQePLo8o2zOI9gXLpM20wkUy6iOTTzHNp5DPfV53vGefLHkAuGPzBmlTGYjOu89dZbMxbdWOcsY4W0QwQSTCCnoKx65YXY6i9t3sItvfifzrVfO3Z/UjbyQ8ofP2z82XtuKtY1xtO0/VFvPAbRP34cmeXIzY5Xe5/p5peU9udVjy17u6V/uNq5P57mfFd3cFBVau3kpa+/6Nwu+wZb9VYECieAtwxRycQbJk9EzbyNdGszbi40vIf82cQMRBFj+uj2ZNJGtNs7PJb3dHUzsYbuR8LgNIYxOYbfFcL/mJis73owexqPo01k4neP2fNsg0MmcV2XetmwAs6jTUiy/MxTTKikhjAENKKQ337GTTIhij/Gd55zzjl+zC7e20znozHOWUNwURkiUB8Eck/K+bjmeCZfkb0PSZyY5MeRwf+Mr2F2KV0a3IA+/PBDH4+NHxSezOl2wRtBPDR+aHgit/FH3Kh4zzb2kYYbIcdwLHkQ2408yZsyKIsyKbs+fqDr48TXyJMwQX32qLGZDVWZroHY1NooApkJ8J2h+ztuAgoikvFnTBqhOzs04hEiDviumdkYPW76oeGB4gEwNEtL/MRoFzNdmoiObIYQxRBotTWrU7TtNrkoGuqI3x+Mh9d8jHQm2Cw9LOnm5vfKjJigtINJUqHBl/GNde3yfv311322zOoPWdN+ZpHz+9pQwdD5PWcmNzO6Q2822+0BJtuknELPWchT70Wg0gjk9FC6VHzCOFvas0/c5gbfRvcKY6v4Q/g1tCE8rXwrm5shMdGI3Zbtx8rSJ+WVc1o1YljN6mS4Bmom1BYRyE2ACToIuOh3A9FGDEQm7vz617/2M4L5TlsXJQG6w4kUzEomHiFd6G3atPEPewgqJmBgCCQzuthtDCfhf8gLYUMXPIKS2b7ZRA4eULppCVmzYyoMDTEkebAsxBC1hE8iUDleVR5AiVdIYHAsFDx8ps7MmCZoODOk6bKlhyWTIRxPPvlkPz6Vh18YM3ud38gRQUgkvHN0+TKmkJn15M3EIMqiLngwYVVbm5iaKGOhogh9hMBELNN2vJZDhgzxHuPa5l/ocS+++KKfkEMoI9qFtxY2PIjgTcVJkMkKPWeZ8tF2EagEArkF5U9z4zms0i5+ewNs5cmdHwV++GzcVQMUm3cR3AT546bDmCGEJeOk8vU05F1QsROu8vPKFzWyzXQN1EioDSKQmwBCilBCcRNkEB8ItwMPPNALKXLjpk8olieeeKJa5nz3iXN47LHHerGCuMTDSdgg4j1GjYkZ9CTgJSOmJUa3ObExCR+UzfBoEcMQ8brffvv5yRyFCkpmqhP3kUk5FqaI+jDr/bTTTvPiDhFMWRgxLRHT/CH28OxmE5T85tCdTvxL8/DSvUtMxHB8KHn87W9/83yJT4mgZsgPopmg45RTV7vvvvt8jw5eUB4QyJ8udtqPmG9IY+IN1woxRzl/xph2siJPtl6lQs9ZQ7ZLZYlA0ghUpZ5kbW5GbN2qBu4VO1ljyW0pT9byrWOPqa+NeDAY68LTd77GUzs/rgg7PCLhH0/N0T/yxXMR/aPr2/74cbKu8Gw/RtE6Mt6L8Tp16TaL5lnUz19+5pqce2yNLJd2WM8tveauGtu1ofwIXHZZKv5oDmu5aL777djna6T6cZlm7m8bVe9GrZGogA18V3kIs5nB2Q7l+8145nzSkg8eTURONMRLtjLYRxcuD4iUU8h3P8wXQUMe/Ibk80DM2FHqGorCMD/eX3zxxb79F154od9FDwnCEZGZzagLnlE4WBd7tvS12UcXOr/dNmygNnkU6xh+e202fzZxHi2v0HMWPb4hPveb9J7b/PuaPYqPrrWJe3elnyMoNEQ9GrKM+pzM1pDtKJeycnsoE9BSvvh4+2zMS7YqcaPgB8z++PEo1BCh/IWWaVwR3hRuLvaH9yWTIYT5o5uJrrmymNCTqbHaLgJ1JGAPcPlkgzDLR5xZXtm+p5Ym7hVhZxNc4vbnsw0PJJ7RfK02M6IZhpOPUZe6tidXOfmK/Fz5FGN/bYVtoeesGHVVHiJQagSqq6YE1p4fRsJsZAtlQVw1PH/8NXS3MoKVP4IFYzzl40Xlj666OEMY8yPLeCVbDzcunbaJgAiIgAiIgAiIQCkQSLSgxCvJGKM4Y51aBBmD25Pk6UPQslIEf3hWGZdE6IxodxUCmRmrDFKPzsyMa2+5b8MbhdDGg0B3IH/hDNFitZ9yMM5TtvzxSFgXHd1kdHnVpzFRgSX4CPrNrNT6Mu9p+WGG++q7aa51y9ZujVVS35+my9ZXccpXBERABESgQggkVlBazLDoecAbSDy5aOiNaLokfEbomrikPQjLaPcVgpmbfCm0pz6YMmlg2LBhfrk9uhPN8NwSToUJFNmEn6XP55X8zz33XJ+U9YoJMp3J6Aa89NJL/e4rrrjC8QBT6vb2p++4Wx+73U36enK6Kc2aNnP9dzrAHbxTf9d0mcT+HKTrqzfxBK666qr4HdoqAiIgAg1EIJF3EMYXITSi1qVLFx/mI7q9FD4jGPnDK8nMwdBoK5MKomFDwjTl+J64g6xSgSeXyVEMG+CBAfHNUIeHH37Yszr++OOLPpSBmZ/MbuWaqgT7YMKH7tI7/uIndyzXbDm3aadN3GdTPnMzZn3nhgy/182bP8/9au+aE7IqgU1t2shDTrdu3fy1WtvxmLUpN9MxDLWxNbQzpbHtPFgx43qrrbbyM7AJNk9oHVluAoQeYnUdJkEVOqErd+5KIQKlTSBxghJxwZjJ0OhyJGYYs6RL3Yh7x8Sh9957L92lSptoM2LKAumWejtz1Z+HBhOT/EAPHDiwWlxC+Pz3v//1MfK44RF6pNg2ePBgv+RdkoZMFLuNlt8tj97mxWSvbj3duUf81jVbtpn3jD806hF357C73COjH3P799nPkuv1/wkwOY/vJcMfwkk/nTt3dscdd5wjSDjXaWMbApfg3fkYs9PNU59PeqURAREQgXwIJE5QIjQI2RNa9+7dfRzHcFspv0cY06YxY8akm0Gb6WZlTGglGPHfeHhgHCzBj6Pd2jxA4A24/vrrfcy/3r17F3VYAGMiudaI28eavuVsCxYucN+mxk22atHK9d/xAC8maS8M9uy1uxv0zBC3cNFC98W0L8oZQ63ahtecQOijRo3yMQstEzx8BAsPV6CxfY3xiteRGJKhEbuSIO9448NeEYbYyERABESg2AQSJyij3Qh0KxEUvNyMNtG2cM1i2l4JghJPDx5IjGDDUTFp55ruaAQn3lsCXofjTAmcTFcja0Iz8YmVOegqZ7JNx44d/RJy2WbQ9+nTx7HSCn89evTw43Kt3Hxe8fIQoJnVS3gQYIwlk6voRmSMbyZjDWNWZZmYWk0EbzSChWUFcxmrpiBqaCvxGZnMhcjOp5sTb+SgP8Z70Vou19KtuuIqbuq3X3lRmase2v8zASZ3EZw9KYZItO+U1cmG0DBOO7rP0uhVBERABIpFIPGCkpiN5WpRoRwV0+XabkQ0HhWWe0NUZzMEGoISTxCrp5ixXByzwhFliDpuqHRPIvQQbSyxdtJJJ3lxaceEr4hIQjextBorq5x33nk1Yo+G6cP3lHX77benb9IIPPJCJOINQiSzrF10Zjj1ZLUWC4FFffF0Udds4hfRO3ToUF8FK4vjELQwsbWgwzrm+x7P5bQZ03xdu67TxT3jns730JzpENkMZ2CYByyI2oDwt5n2lgGrlzAGkH3micZ7zUo0tDHOo0aoMJZBZAk9xttyTXFNmLGYAUIdToTvYtk/6sN5M8MLzvHkxWQ5Vk5hdRqMtKxrzfAUbP311/cry4wbN86nIwoB3JloZ+uE+4Spf/m02+rHtU2eTBLj4YJ2c63XZelDq0chr+3bt/djim1JSHpPYBc1hodwPvne0gbOKdEJwuEAHMP3kjbxcMdDHt9Vzi8PRFGz3wGuFb4bMGGJTX4jshnXDT07rKLE+eVBjrImpr6HfGeigee5BnlA5UGVBzIeBLluwvXhw/LIjyUqEeaEgQt7lMJ0vM+XC2m57lj9iKEU/G5wzSXF0039ZCJQWwKJE5S1bYiOKx0C/JBjUUEd1wJu3Bjd03H2xhtv+LWRuaFw8+dm8r///c/fwHhl5ZCosLN88G5yMyfYPMvvsSRePoZ3FI8PQmTAgAHec8rNi7qwtBxLBHITQgybceOgPqSjG5Ll8QiWzw358ccfT3uqo+KJmw1rX9M2lhhk7B5puOESauiBBx7woo26FGrkc+ODN7klqddtNu7lVmhZvJns1OfMM8/0k80QEYhnhnlsv/32vmsWb7JZr169/H7OIeeb64Pj4YRwufPOO6uJSm7GjLnlvJI3aRCiCAvWAscQFnih2U+efDaBwc2fGf4sO4i45fwjkjhfeI9hShpY84pxrvhsAcMRA+SPdz0UlPm22+qHV5tlIhGhrGrDgwUPO9T52Wef9WXX9z/4UQfELEwRirC44YYbvGC28hGJPKQhtKgrPBFHLHl50003pePu8tDDeE6G9vCQjNhELHLu77nnnmpLL/I9Ofvss/3DJecdrj179vQMbr755vTDl9UhfOW6YTIfYp/zx/H8pnB9cK6oU2j777+/P2fUHYHLcTwU4PlnAmD43aNNDIWBB2lpMwLZQomF+ebLhWOOPvpo3zZY86BDvWkH32fYyESglAkkTlDyw2o/2oDly8yPTDmaCStrG22vBDNPrHXJZWuzrVDEzYubPzer0PBS4BE044efm9kll1zihcLbb7/tf8Btf/jKdUXMR4Te8OHDveDJFRMUbwYzYrmJUI55sPjMTQjD40l3KN4NEyTkTxvwkCAMTeTilTrhhBP82sqhyCIfvC93/r+Y6tu3r7/5sJ1jKYsJIXg2WGP6mGOOYVfexs3z+vtvcG98/KZru0Jbd9qBp+R9bK6EeJwY/4qx1rZ5uhAVCPCjjjrKEeYmHCvNtY+H8JprrvGc+Ix4QbAg/GgrxrAHbsrkiXhHMCIimLRFiCnShRzxuOGt4pzZ7wpClTzxOCHW8YRRHucTYYrHDY8UdeR6YgwlDwuM+81mtWk3+XNtIB4RGXw+/fTTHWtgP/fcc9VETray67IP8cV63zy8cG0hsnjggSceWDNEOPVDcJsHkUgJsCc9k+ywHXfc0YtJ1kfn2uRa47zBl+8b3le+C0S24DqhTMQf3y2+33yfOQ+sdz4iNU41m/Ed5hpg1jWxfhHkp556qvdC8l3mgQ2jTjwAUG8eCDnniHquJbaTjmE1GHkecMABPr///Oc/PuIIDw4IYkQpZt9f3ufLBfHIwwLtvOWW/2PvPOClqM73f+i9KSBViqAgWFFsqNgLILH32PvPoP7VWBOTqCnGGGNs0RjsiL03ROxdLKCiCNhAVEAQlM5/vwff67lzZ+vdu3f37vN+PnNn78ypz8zuPPO2c0PFfc467pBK+v/0009pUiIEShKB+sU26iipwiQRJV7FNuZcxgNRZm6hROcenqtLn3lwIpCwdBKue271wjo9Eya1qEBCedAhycxZVocfcogODxjM0enMbPaARYNjZNLaYk979I9/JyZbE8gSwsM6fBhxDBwglkh4joccpmAwQGsTFYgRgokwWxnzzFg37s3xrlmTZu7cw89yrVvk76WNYBBeFiBKRiYZHyZptEFo8ez62LjR/GDWh2ggvHSYhg5yYcJDHZL+5JNPeiLBcX4fII0IWqRQwAbtExpuu7aQRSL80QzbMfozQhH66oZtpfucy7y5n8jDavc2/0OIueZx91e6MeRyHs0uGneIH3hAtCH7YVYNNKa8IHE90eJimqYMLgkQOtwP7OWPsgjaf9P6MSeuL3XtpRBNIvcCJI+gIcqizYSIMg4IZTrh+8FLly0cwUuD+YuG44dQ4tYAGbZrTl20/OzDl1LuIb6T3L+Wvo463GPhd5qxZYOLubVwjcP7nJcaroGNK92cdV4IFCsCRaeh5EGEE3movUDLhKYi/IEoVkAzGRcmNvvRs/KYbjIxAVv5Ut4bkYwzH0XnxY+9iWn77P9Ue3ykkLlz56Yq5s+hYbjkkku8loKHCFrPZIJJHTEC6P8J/qDJgJBg4uY6Y07kQWHasXQa0KApZ31BLIxchecNP9rmYRyS0bBc9PO0mdPd2Gfu8eV/d9T5rl+PftEi1frfAoVCU7A1yDF8E8EBMmLC993Ihx0zQhJ+L8CdefNAxmRpAiED57As50wbbuXY80BnQ0NGGzzouSetbjb3WdhuLvM2IhS2w33DPBkf91FNSxQj8IV80b+JzY17MsSd8/xeowkGP8bLyxMvO/vvv7/XshJQRnsQx1CsTUy/0TbBALLJ9ykV0eI+sO+BtU1dBNM9wvXlO0T/5r/sTyT+YP6GJEKIKc//FhgZfeGnjtW3e9XmkAkuvNxyn0JuGTfWBV5u6D9KVG182guBUkKg6AglP+aYBcMvGD8YPHxKObG53RT8qIQpPOw4czaiZcfq6t40L5mQPSNi+OCZZiMTXKyPTB7IPHBGjhzpTaj4UqKJ4UEWJ2ZCM21DXBnr2zTrPEztoZiN+4aZbnlAosVKJjycICaZarjHvfmMW7FyhRuy4TZuQK/UQVHJ+kx1HELNfJl3VOx6GHmLng//5+HOA7dTp07eV457AJIBccasGSemJYs7Z8eoj88gGjB+b3Cl4DcGEyiSKTG39myfr3lbe8W0txchzMNscWL3PS8NaPsJTMMcDvlCU4ypm6A1I2PW5kEHHRTXnD/G98XumaSF0pywfuy3JFrcjnNPcs/ZPRR3/0brWtuZ4EI///rXv7xv5rBhw/w9CJkGr2effbZKsFq0L/0vBIodgaIjlACGlhLTh5kbDESIGOYV/HhyNUtZW4XeQw7QisT9SBFhmYk/YaHHXFP9WeQ+ZkgeLqke4EbKMiEg4Xh5MCCZklDMqkRh8yKDD+Shhx4aNlfxGS0GD7ioVqSiQOKD9W2k0zQllEFDEWp+wnrRz6YpQzuPqTeVZDpP2iBFELLu2n39Pt9/+O5CyHlBCjXM9GNzj/sexI2DNsAMDSb3CfcLBNui3qN1TIMUPR7+j4YU/0DMr5hXTUNHUBCBWkZ4wjqZfM7nvDPpr5BleGlB8A0O3RjCMeDGY8J3iY3fNkzbvKQR5IJ7iflaWpvXXntthQnY6ts+ToNr5zLdW1YB+z5F60XvSSvPb7JpO6N17H+bQ6a4oM298sorPWkFF7ZddtnF+/QSBJXp98L6114IFBMCRUkoAQjCyAOEL2AofOFwvOfBD7HEPJHshyKsVxufeRBCgCGSyX4YMc3aW25tjLE2+uShgrYJ4sXbOQ+bZGJ+bfzwZiOm/cyUqHOvQSIvvfRSf73MJy/aJ24X3JPhwzNaBq0DYuYwSBHaG/wqIdGmAYnWi/5vLh6QJDDLlxw74mi3ZLclrmO77CPDMxmDmTC5t7n3Q7F7ndRO6QQ/QrCylwoe3lxXjkFq7GGerp3oee43iC4rMOVKHqNt8n++5h3Xdm0fs3uaF4XoNQ3HxveIVEzgy0s0SgE2XEnOPPNMb1pG44zmmTb5DeflLBlJDdvO9bON3e69aDvcp3w3TVNpGSUIoklHKK3tdLjQJ/1zT4MfL6W80LARAISGkxdH/pcIgVJFIN6uVySz4QvIlzrOFAxBww8R53x8Y3hARbUhtTENxsBYGBNjY4xxZJI5YcJP9iNXG2MvVJ9o04iyRcAomVaJIA58k3hIxQWlUD+uLtosonKRbPBFc4opFEm2tjEPS4TABTNj+wM//2G8EE4eMEYoOWU+l1E/Mqsbp5mw+vgSJiOwaMWylW4durp1uvZOpAlqmW3VjMrbSwCaF3Aw4Z5HM8j1iUazYm6OXiu0srx4hDn6eJnkoUwUdCjcI2geMyHrtEl/RthphzbRUCL4M5uYJprz6SSXeadrs1jO46oDFkMT/n9Es4cCIbNgKAg6kdxEdIcvcxy3e9i06bxMImQwCO8TjhG0Zd81/q+O8N3Cj5NnCQQ2FF4uuA/4jplYRgFeYrmvTLCS2PfYjmWKC+UJ2COiOxqQFsXF2tZeCJQaAkWroTQgMRtiMsR3zb54ds72vCWyQd7QBPFQsS0bnzVrL5s9P1a8bdrGm246wQ+MH+Fi1aymG38+zpOQG6d3tBj4FZE6J7xW+Fvhh4VALMArToja5EfeTOI8uEjvwvXgwWUPuri6ccd22GEH7+sVatBCLRamcbSX3G+kHznggAMqHob0SdQoQjR3eH0J9CEtC77AaBvJyWhCwA3nkLCvnokIdog3D97RiUhWMAoJE4T7v//9r3/IGxG2NlPtFy9d7KbPnOHWW3vdirGnKp/tOUg1SawhaCyrCdGCpPE/1xGMTLNjbUPyTjzxRE/k0QpBJvBxhDBPCFLHoOmCBOCfxwsAGEBwiLDGDxkNZrqk4OAJ2WUtbsrSN9ohI0C2Z2xYGPiOE7QBmeJ3KPTvtvGzz2XeYf1knyE1Z5xxhn+xtrRKycrW1HHcAlimlPsdTSPXhN86Xnq4rlwzTNy8UPMyRkAOKYHAFw0z1xOMue7mGwzJ4zypdEjNxHeDlw2IH6QLbV30xSPX+RHpf/rpp/tUVERUM16sYHxP0aDyO2ICucS9ihd+UlfxXOE5RKCRkWEjmtngwvx4McZfm765X3AJAD+sWfYbYOPQXgiUGgJFTygBlAczb5Z8+TCVpDJD8CPHZoSAhwWElB8CNvxl2KNx4CEX3eiPH7Xoxts5vjVsPOTYY7LNxuzGmzDmnky0HYyjLgvEHwJBnjcc9s8//3wfcMFxHtqmeeMhhEkomVAOMzX3B0SAtnhA8INPbrxssUZTgumbHIRx15b7hahwki7zwENDwcOS+4HPjAfCE67qw9ghhxAkchyyWgsPFBsvRJSAGvPlC+eK3xkaT+5nItHJGQiBYp58F7iXITvZyB9uuthNnv6BO3jnA93BuxyYTdWMy0K2+Z6iSSQwA20uZk1yR/JgjQrfJQgL18x8TrmO5EcMNfw8eP/xj3/4ewKyDfGgbYgfa1lbeqZo++H/5EZEQ8n1YDUdvutoQfGDg2SGmksIPuV5IYAIEFSSjFDSR7bzDseV7DP3MteZ37KoJi9ZnZo4jlae31ZyMYIFwnWDCJH6xixEYMT3gFQ84Mb4wZFrw8te+L3ipZH7G801ZBXB5ExwHP6t+RLuRcg4AUC8TPA95vuGNpJk+KaJtv74jjIe7jGIJfcdL5K89KJpDCVTXCDS+E/SLnlkzS+a3zvuPb7PEiFQygjUS3zRVqWaQL2j93D1Fv1QpcjK/yaiTlvmL3ddlQ5SHOCHi7defF74QStm4eHI2y0aNIsiLdrxfv6pq3/WEVWGt6p7b7fq77dUOZ6PAzw8eHBAMkLzNQ91tIU89E0bEPb3hz/8wWusj0wkykajENZHiwcJjZqWIB6s3oKgrUhlUuOBxoo3CIQ11J5yjHsPTRt927i5vmgbeODGuWlQDxM/CauNMEMkeTjzcOOhghYMEhkK9zsaFjRAVo8XI0gqffGilY1ccdeV7rl3XnAn732i23XwzpWqQlrTSfPlS9z/+2B8lWKLGjR2/xhQ2RRNIa4HD+zoQ9saICk1L42saoTwfeEBnu67zX0BKQc7IzPWZiZ7CBp5BCH09JdKIHJWNiREqeqkm3equtFzRiTj3CyiZQvxPy9q3IPmq5ysT8rx3ckEY14mmV/ci1Wy9nM5znWnL8YeWgTi2uJ7TFl+p9KVpX6muEBo7d7lZTQfMuKL99zG8yrHHNDuQ902cO+u0S0fXRRdGygiJMWDQEkSyhA+vow83PlxSPcACuvV5GcjkTyA0CyUjNQCoTRseJBwDSEd5uZg5+L2RigxSWHupD4uEZC60CwcVzefx+gXM54RDh5W6YQHE2OFRGU7Vu51yI+lz0nXV7Lzi5cmEqY3blLldE0QyiqdRA5ECWXktP4VAkIgAwREKDMASUVqFIH0T78a7b76jUPY2NDSoDmAVGIis71pj6rfU3wLvMFigoRE2j4TUhHfWvkehZCZH2QuKFA/NFXm0kYudegXN4ZsBM0ahDAXgWznQ+LIZD7aVRtCQAgIASFQngiUPKEML5uZMjBRmKDNYcMkZns+Qz7RLuE/xd426kESbMM0wWfaRvvFhmbJPiczbVr/2guB2kSAAJwDLjwk4yFs2nxD16hho4zLq6AQEAJCQAgIARCoU4Qy7pJC/tjQHkqEgBAoPgQIgJIIASEgBIRAaSOQnlAmNHSxksaJPbaODhY3AsmuabJ7oBZng+8hWmVpiFNfhKaNm7qH/npf6kLB2Ux8KIPiefmYLFgnL42rkYIiQKog0mLhF1vTwTUFnZg6EwJCIC0C6QklkdwLvq/a0JfTnVujfdXjOlK6CHBN46TVLy4Ecadr4xiJkyVCoDYQwI+VlxlS6EiEgBAQAkJgNQL10wLRvVdskXrjH449roOli0C98Y/ED75rz/jjOioEyhAB0huhiZMIASEgBITALwikJZSrBm72S+ngU71XEnnoXngyOKKPJY3Ag7e7elPei53Cqg3i74HYwjooBISAEBACQkAIlB0C6U3eW+3oVt12tau3ZHEVcOpdfXFivbGpbtWIgxPZi9eocl4HSgCBb7929e75n6s3YXUS7+iIV7Vd07mNK68MES2j/4VAHALkYe3Xr59f3QcTMav9sIpKNDE4QXMsa8cSmiTBJok0q4+wUk4orLpCVgaWziOBPKsjkW1hRmIJO1YxCdvNpix9kMqJpRtZFYXlIVk4gaVBWf3IhDWn6Y+yZJIgeT55QScES0Na2XDP/FhOcP31169YRpYVkyxJPW2ylCRCMv1wHoMHD/bjYfk/liEkWT84sboLSxaychL1WYWFJQ/j/FFZHpG+mRcZLuKuA2VojwUCyJNKP507d/Zmfa4FqxxFBfxZFYoE3azyQjmJEBAC5YtAekKJ/9ywg5y7b3QVlOolfnjcI3cmfgXHONexs3PNFUldBaRiPcC1S6yAVC9BKFPJqv2OSuQCUBqZVBjpXFUEICgnn3yyT263q/IAAEAASURBVLnFsoisuw1hYcm5q666qoJMQUZY7hDyAjmDEBHUwQpJLLvI0ngmLHlHGq8+ffp4ggbpI3fpwIEDPbG67rrrrKhfHi/TslRixaHtttvO568l6Tx9sM7z888/71cpgmRBoFgdBkIJiYPMpVsuj6Axku9Tl9y4kEWWEwUHxktSfEgehJvlB1mowZYcJK8qy/SxysxjjyVWJksIBB3yDTmkTeoToEZyf/C99tpr/drjvnDiD0tfQoRpnyX+mBflWFOaZQCNvNIX86ct+iDFGvMkvy6k9uqrr3bTpk2zZv34WdGJMuDFWLbeeutYQltRSR+EgBCo0wikJ5SJ6a/aK5HH7uVxrt7XX8aC4Ynl7MrahNiCOlhSCKzqs75zOw4vqTFrsLWPAEErxx57rI/yhTRB/NDSsZQmmjjI2x133OEHCtmBTPL/G2+84Y+hgTvttNP8eughoeQkGkwIKlHELGBAXxBXNIvdunXzpMk3kkXZoYnlLiFTr732ml+LG/IFYTz88MP9cYgYY/v3v//tm7788ss9kbvsssusq6R71n2HbN17772+fdpG+8f65qxbfuONN/q6rBfOmuwQwDfffNOvGgVhIwfumDFjqiwtCZ6GAcSZNaohmqxTTV8IyfOHDx/uNb2QeMg69egbzSJaXtajD4UxQORZnxuyCKlmnJBdI5RcA7Sz4H/99df79hkna1NzbRHqSoSAECgvBNL6UHo4mjV3q87+q1vVrEV5oVPGs13Vrr1bdealzjXI6J2jjJHS1KMIoIEj7ytaNcgkgsZr3Lhx3oSK+dUEUy4ExsgkxzGvQl5Y5zy6MhDavNGjR3syQ1m0mrSBRFdKyrQshHLBggWeiEH4EOqyVjv7PfbYwx/L9g8mf4gb84G4sWoXJnvMypBiyJstvck5iCMaTUgZpBNtIi4CU6dOrdL12LFjKzCgzYceesibqtHiWiottKoQdfA1UzjXAXM70r179yrt4k4AntQFC8zYtB9iiyaSPp5++ukKtwTK4nYQN9YqneiAEBACdRKBzNlC1x5u1UWJN/S/nePqzZldJ8HQpFYjsKpbr8QLxF+cS5BKiRDIFgEjKlOmTKlUFWLy5z//2Zut7cS7777rP0IcWcIS7RcaNyNFaNRCwURr5MiOz569+vcI82womZSlX/wh0U5Gl2nFRA1BgvjRNv9nI5j9kRkJH0/IYShfffWV18xissekjVAOUgbBxecSsoyvZJyAZSjkfISksgQtc8IUjimaDTx79uzpySsme1vkIYot7UVzR4I1ZJt6JmiUEXxMo2IYQkglQkAIlBcCmRNKcOnZ1636c8JEkwjSIcLbm7rLC686PdtViQeP2/lXbtXBJziX0EpLhEAuCEBqIHNxBAyNXygQFcy1+EFCQqgDKTFyWNOmU8zkCOQtTuw4xC9uPnF17Ji1jTmdLU7CZWI5//jjj3ufRXC56667qpi649qwYwTtgD1aTwglgqZzxIgRnjSDPYFAmKerI6ZVhWhKhIAQEAKGQHaEklpt2rlVp1zg3PBEoM5T9zs38VVpLA3NEt2v6pR4qA7axq3adR/nOnUt0Vlo2MWCAKQFrVjDhg0rgj6Sje2II45w66yzjrvnnnu87yAmWeSwww7zZKimNV0EwSBx2jqOm2YuF/JkAS8PPvhgbJQ07aNBDAVibX0SODNx4sTwdMrPptU1DS644sM5ffp0HwBkAUSQ4/PPPz9lW6lOGmYEVJl2OFV5nRMCQqA8EMieUBouPfq4Vced5f9btTDxpvr9HByl7Kz2pYBA4yaJ1Y46JJ6alU2FpTB0jbF4EcBvEjJDUEg09Q/H0T4S9NGsWTMfKf3hhx96X8HamJFp8kybGB0D0dSsiGOayuj5VP9b22gELaAlVXl8RvfZZx8fkDNp0iSv1cQnEnN8JoLLADJ37ly/x5eVvvGvNDLpT1TzD2mdEMzyIpTVBFPVhUAdQiB3QhmCwPKMbBIhIATKHgEisyFCRAgT2GKCRuvEE0/0eRAJ/ECDiUkb0gbxsYAYiBGpaxA0nTUpaB4/+ugj3x/R2CHxI6CGYBSirkNBA0gUeDohhyVlhyZ8IgnEISrahDnjY0nQjcn+++/vyTaBNPhuoq0kQAdfVPOztLIQc3wmTcihiZ8kfpjWj2ks8WkN80hyXZBcseX6EpjD+Ag2Mi0ymk8i9CVCQAiUJwL5IZRFjh0PKjYc2e0zD7Bwi/64hmWjdShrdW3q/KhaOeuLc1Yu3Fsd7YVAXUQAgjZ58mTvC4gpGW0bZAMTLt8Tor0RyBwEDiJ3yimn+DpoNcmpiPYSgYRGtZz+RB7/PPDAA+7000/3+SKJckbrBgmDeNG3peGxLiF4m2yyiU/JQ3BNMrM0AS5oB8kleeaZZ7oJEyZ4bSdEkpQ99PPWW295P0lyQzJviLYFu9Dvcccd5w488ECfnsf6Z48mE7KLOZtoctINge2TTz5ZUYyAJ/oZNmxYRZJyiDrkEwHbXOSTTz7xJJdUTeTYZMwEApG2yK6b+b6yP+OMM3yQ1d///ve0LhC5jEd1hIAQKA4E6gyhxPcKp3n8t3A+53/2bPYGnQ5ySB8CIcxUqEP7mfYBGeUhi4aDjc+YAIm8jJLaTMegckKg2BD43//+59PtkKAcTR/fKcjXbbfd5rVoNl5S2kC4SCUEseR7a6vekK4HbSXm8ZoUiB1kh+Ag8jjyPYQMookjytp8Em0MaOUgc5A46iYjlJQn7Q4mczSNI0eO9E3wO8Wc8Bvl98lM3Xy+//6EX/rPArGErGG6jpq+SRsE4R0yZIgvzXjRbELmTSC+BPYQlMN1QLgGV1xxhSfwJJuH8GX622Xtsr/pppv8ddtoo418DlC7bkTpM1YT2odkoo2231c7p70QEAJ1C4F6iR/EkszvwA8Yfk1oOfiB5se41IUfXoglP8poHfQDXOpXtPTGf8kll6QddPPlS9z/+2B8lXKLGjR2/xiwU5XjaK8I5IgSs7Bg06ZNPbHCPy+bF7qwjXx8hvgQeY0fYjqihYYP83Kmvz3MkYAb83HMZbyHHnqo1wT+7W9/8yZv2uPFNJWPJ6SO3xOugS33mEvfcXUwq4MX1y0ZXvY7VpvXNW7sde3YiC/ecxvP+6rKtB7qtoF7d41E4GUdlOoEl9VBOGp9SiWloSRqEod/I5K1jl6eB8APPhuRn6QA4UHMgwBzoUQIlCoCqciOzQmymYpwWrma3vMbY0En6frKtJy1UxNzhCCmI4kQvWzHamNOtyfFkyWvT1ZWRDIZMjouBOoWAiVBKPnRIkqRLdWPE9oFcqTx1s6Gxo+NN3jMWOGGj2S40Ye9wRuxwxE+nfYBLQUmK8bFDzt1LF1I3K3C2zoEkTq0jXaVOnFv9zyI2Vj6DdOfRXHGtatjQqC2EUgYT2t7COpfCAgBISAEagmBoieU+PxAqOIE/0NIFpo8iCSm4kzFyGVYnnaiYoQP0gehjWoDePNnw9F+q6228tUxw1MeMkgdzPMmEE9bxQKndpz7IZOUZ6Mt6oQEE+L52Wef+QABoihLXWMJkQcTTHGYAZMJWBmh58VAUhwILKsXH3ndZMVyl7hxWcg554Fy39tqLbx0cY+UgnCvMtZSGW8cpmC/YuUKl5iFd7cp5bnEza+uH2u+fFnsFJfVj/++xhbWQSFQDQSKllCiMSSCMc5cBnmDSBIRWtNCwAwbaT5Ygg3/JwgfJNfIDmOA8EEIcaA3cgv5w2kdAkkdypjw440DPQ771IHMshGBCeGiPFsY4QommMIhuWBQqvL222+7m2++2RPjiy66KOk0iCa96qqr/EOavaQ4EFiWWN99cf2GrunKBIEMpEFCQ9n9x3nuixZrBEfr/kfIpKXqqWkSfPfdd/uo8/C3xxDGpM5vBH7Y2ZBBxv/jkh/dsgghadyosWvepHlWbdlYtC8sAvVXrXTdEt+9OFnQKPlLe1x5HRMCuSJQlIQSkzERjqFPFaZiokDZMGHXluDTyNa/f39PeEl7gokcgRwSAUpEZajthPiykQgYkkwdfsQRcsmhkSFa0/LGoT2FwLL17dvXl//iiy98ef5ANHmg0J5ECNQ0Atzf3K9ok7k3kVnN27heC1cnuA773372VHdbr82rpaUM2yulz4XQUIbWjmTYZEMmvUb4xx/cygQhQRo2aOStIysSLwtLly31171V81bJutLxIkFg8HefueYrqmooE3pzN7uprl+RXKY6P4zqLepaQ/BAukIyCRnbcccdPYmrTTIZTpcfbcjtzjvvXElbyA80+d/QMkaFBzJElLmE2lW0G9SJE8z4pF2BpKL9MDHfSvtfeyFQUwiYrzH3tsmU1vHWAUjmnl9NdvV+JihWvi7vednluxl+Pws13/CaxPWZ7vzipYs9maxfr75r27Kta9U8kWWiRSvXuvlq96HlCTeGqOYyrh8dqz0E+n8/y+04a0rsAKa3XNNhUZAIgUIgUHR3GubhMK1Gnz59PAkrBBi59oHJmtQZ5IxD0DiiYSVRcZzgD0iuNpacY0UMBE0lJvFkpmy0ottuu61PhEzuOwT/UszrmLgkQqCQCLzXrqtDG9ksRisyaO4Xbu1Fc91ba66d0I60dtn4cEGA2ixZ5KfSvMFqv8RCzquU+sKSgxaxQYLQEpAI8V+e2JouWu4DA1csX5HQKNdP5LpNbtHB1I3fZJOGjV3jnxJL6Aby47Kf3HLOrVzqmshsGiBT+x8xcbdb+qMbmCCTfX+ovB58OLrXOvQM/9VnIVCjCBQdocRsbELiXTR6pSAQQYgk2lXE1vFNNXbmxnxJE4SwT0YoOY+5EZ/MF154ocLMTgBQuRFKkjqD29577+0foiTCnpFYcg43gM6dO7vdd9/dJVubGT9XyD5JnyHwEHWWsUPTnEz7TXmWyIP0o42ibRJxs/JLVHhBePbZZ/0SdLvuuqt3geDFAV9YXjqoR19mOqY+PrEkpcbl4cgjj/QvGiz3x5wIPOOeYLWTZBowXjCeeeYZXx5SgasELzmsXBInkDb8U/HhBQf87vBJ5oXFhDLmymFaLvDF5OrH3qSJe6HjOm7XWb8k0ra67DskSOHuMz8MD+mzEBACBURgesKX+dNWHQrYo7oqdwSKjlBahCcXhgdjKQlBOEYoLT8c6YtSCXM0QhlqZpPVgfTw8Ld+QryS1alrxyFoYMZqJUauIXr4+UGuWIVk1KhR3iUhnDsknxVRLFIfTTE59FhzmRVNTj31VN9mWAeiZquXQPjoB2L5xhtveDcFEk2HEei4IuC+AHGFsKK1trHRF0FV+NCedNJJFd1A6KiDGwXX9tFHH/V+bFYP/1nmdMEFF1Tqiwbo45///KcnhWipGCMYEPjE8oeHH36477+is8QHAjuef/55f4j7if4hvNTB9xfXDEhkNP1V1I3j9fY9XJ+EdqR3jC9l2J8+CwEhUFgEWGTg4e7xFrLCjkS9lRMCRUcoywl8zbV6CDz11FPedYAl6Lp06eI1eyyVBzl65JFH3G9+85uKDvBTveaaazyZpDwaP4ggZJJ20NSxnNzZZ59doT1knWXWeYZgQRzR+kHyIIWjR4/2S/PRBueiAtFDo4jGkewAkFi0nKy1DNFDk4k7RyiQOMjkXnvt5VjbmbYhmqzpjEZ2QmItaJYjNCHF1HXXXeeJNOs9b7311n7sjI+5QHoJ3LJ0VtSDIEMmcZU46qijPOkGm9dff91jZhpIiKml4eI8ZJ2XI0iryaqE3929a2/iDpv6iuu8dLWZ2s5pLwSEQO0gsCSRJujunpu4+Y1TKzNqZ3TqtS4jUHRBOaFZDx/BUpLPP/+8YriWXL3iQJIP4Rwxv6YTzI5oyExCvOxYuewheIcddpg3L0N08FmFLCIzEubiUJ544gmvjaTM/vvv78kRGkFygf7617/2RIlrYZpftHa33nqr19Sh5SNfKKZe6kAE0WZCLl999VUXRuBbn4znuOOO82ZniCEJ8IcPH+6JHGWi47N6rPnMetKU5x6CDA4cONCftrFZ2TFjxng3C8aGudrM6Jjwd9hhB1/s8ccf93PgH0gtBBk5/vjjvamf+XAPsS61EU/mnqnMX7HS/bvTBm5y8/T3bqZtqpwQEAK5ITA3QSL/12erskvdlRtaqpVvBIqOUOJnZoJZE/NmKQgaqfCBH0ZxJxs/vnlm7qYMPqOpBJMjGqswAt60SKnq1dVzECAIUShoAxE0baE7ANcHMcLp//n5D/fcnnvu6f1TDVteDjD5YlaHuEaF45aUHlNxVDBdkwUgFMaKDyWCdjFOiOaPis0pdIlAm2n3W+j7aHUHDRrksaGO+SWDAfUYF+4ZUYFUQoSjmEbLhf9zTy5NaETu7L6xG9tjU/ddkxbhaX0WAkKgAAiQF3Z8p3Xd9esOcd8qTVABEFcXcQj8Yr+KO1sLxyBiPADt4YlpkMATHupoeopR8JMzwsL40PgYcYgbL8EOEMOQTGKyTRWQAwGhH8yPJvhflltAjs092R7ztIn5/GGutdWWIHpxQgBNKKZB7N69e1KCxfXCLG5R92H9ZJ9tfDa2ZOXC41Yn9GlESw35xTSNuZ4tKnxf0Epy72DiNg16MgxMKxptJ9X/Ng+I6ntN27r3egx2PX6a7/oumuPWSgTmNF++xNVPnKufINP16icWZ1y5KpGmZpXHtH7i/zhZkdB6IkQop5VEJqMVietrAhlevdmRynvGuTIxBnqOI84kRqIMYv1X1ElUQitdRYIxWB3K0A91eedh9ZmoJM4mzq9O2Wnt8j/3K2L1/DirVq9ozvdB+0EZcAbvbIWIb1bQrJeYJ9dMUpwIcAcvSaQDmpN4gfssEXzzSSKN1/LEi51ECNQmAkVHKAGjV69e/kFo2iKCKcaPH+81K5yzB2xtAsePOMEVaIksGpbx8ONPJLaZH8MxMh+rYw8NzkMK47RgnINc00fUrErwRLJIZupJfkGAYBgz42aq0TUCGiao/6XF1Z8gaQjtF1psfMzrscceS9m9aSjNVSK0AqSsmOYk3wE2JEy4/XGDhG9q626VahOtzveW7wBl7f9KhRL/0J5plnkxiyN9cXX4DoaEm3qQbYKOwjYoZ/dCtJ3o/9Y/5anHd5pVs6LCd9le9ML7y3xPo+Wj/0MmwxdDSDo4GVmnPGVsPtH6+fqffJMLf1qYIJL1XZuWv1iK8tW+2hECQqBuI1CUhBKzGxo+tESmqeRHG20lG+Y6tCyYHQstjIeVaqJLLzIOHtSQyegDGw0WdUxDFI6ZNDeQSR4WJjxIKA8BMBJg59gz91TazLBsMX42sh0SgLhx2gPVyseVyeRY+LDGBzUTTbcRB3upievHSEQq0hlXLx/H7H5Bq3jQQQelbNKyJRgO4QtQtCLfvXTXJVqH/9NlMzANXEju4trJ5RhtWv+MHQLIHuLKZ87ZPWT9M09IbSqxsqnKZHIOUmv9x5WP9kNZ7j/Itc2F+XDvsmc+0Tpx7WZ7zGsnE5VSjTXbNlVeCNQUAvYbWFPtq93sEShKQsk0uFlYdpCIXcibaUI4BzFjowyEjAc62qJQO0C5fAg5AkkBwwbJs5Qz0bYheKZlxERPeSOfPBSiwgOBgBDmyNxIN0MdzJNxJJL6PAAxwbZv3z7aXEn9b/6laM7AJtkPg7kEWPlcJ8kDmI1rxzUxgpWqPXtZsTHElbVco7VB7m183Gv9+vXLiGCYj669pMXNCf9KIt8zEe5hNu5f9pkQESOWoYY+k74yLQNRZEP47vJSArG0lwjrn/NWjs81IeBh88ylLzDlO89GOzYfvjPpyHAu82ncqIlr1LBRRvdSLu2rjhDIJwJYKyXFhUDREkqDCd9CHoSQOTb7geY8P6xGLvmfH22IJeSBBwgbn/nx5cc93GiHh41ttAXhQHvDxmcID1qBVIKGCNMY7ZEWBlJomrW4ejzQIIRoi9BwkUeROqkEDQdayWS+b6nqFuM5XgK4FuCEL2myBNycQyDR1RVIHwFe+DxGCSWE6LLLLvP30jHHHOODbSBWPNAhV5BKI2M2DkgKaXmQnj17+n0h/0CyzYTMOAYPHlyle+5j7h0jURaIQ0JzyIlpYa0iuS65Hzlu2kw7l2zPdTRtoJG2aFkjnBynPEIdvjM2Nn8w8Sf8ftuxVHu+Q7TP99zatvJ878Eg/D5amWT9Uzccr7WVy97mxm8L1yFOwr4YJ7873HdR/GmLFy/uu3A+cW3mesz7TNaTH16u+Kle4RDguzBkyJDCdaieMkKg6Akls+DmgVRARPBXQ5uHZiYqPCQK7c+GRpEtU+GBiWbLtFup6pFGCO1rqWsko3PkoU5EMfkfybGIiwCaWhMemORjhMxx7Vn5prpCyh6IFDkYWaHI+uOB/uKLL3oyCSGyFD2QTkjaa6+95m655RZ3wgknVDzkuc9Y2QZSxluytVXdMWZTn5cn5nTPPfe4++67z98jkGAT7smrr77arwR04okn+pctxsr8Jk2a5Eg5RLok8EUgZg8++KAndKwAxDXA35e5cr24bzkW1bRBaqkLaaJcVHMGQaIuhA9SxEYbtAvZ4zgECuFacCwboT3awjUhSpAZE0IZE8aYrH/K2LiYRzISaG2l21MfAsj8mVeUcPOyygYGjImxIZTneLR/m4+VS9d/LudZu7uh1n7OBTrVKQAC/F7xOwaZhA9IiguBkiCUBhk/uqap44faiCUP9nSaRGujmPc8cNBMYLqHTIYPwmIedy5jI7E4/rCQliuvvNIHGGHG5cFLPki0w1zvAw44oIp2MJf+0FDuuOOOPrH3VVdd5RN+gzFaS+4jCAT5Jo1g0cfIkSM90SQo6uKLL/Z1OM+4IWxoCSGaYZ1cxpZrne22284vI0n6KVbLgdgyJvBDcw8BJB8lOJrss88+3oVk4sSJvgw5NQmCgWxDZPBdJoVSGPjGMpCjR4/2pA03Dcg22JiQrJ1E8nwPCRQDazC1gDUIarhiD24sXHNeCumTBwTEc0bCZxpyRTvIRRddVIWEWZ+2xx2G5O5o+bl3GB9jZ2lJ7iGuDasShVpkxkb/FqwFbnzvGC/H+B6S9J1xIWiAb775Zj+3c845x7qu2OOicskll3hi/Ne//rXiOB+4v2688UY/J77P5AiFOHMPMWawPOWUUyrcdejr9ttv9+UZE9cDPEhWD2nm5fKss86qQp4rdZrjP3c8PcaNGTfWDew9wF16wp9ybEXVhIAQKFcEfnnSlBgCEAAIiPmSQTD54eXBBLnkf/Zs/IBnIkbgeMhlImhW2Gg/0z7QLqB5MA0In3mI8vCoSc1DJvMpZBnmevrpp7uXXnrJPf30057kWOQyhIAHKUm+cXnIl7D2N8QCTRxpdrhmEA4IBUQralqH2LNyDksvQqos3yTXHH/Zfffdt0Jrma8xZtMO9ytkCa0rGFr6IAgkc4FAkyszFAjnueee61gPHU0lGlgE1w1yV6L1tO+B1UOrifYT8g95jb687bbbbp58oW2GzHIdwYiXPwgtq/vwvwnX9Mwzz/QkjXRbmNrpE19QEtX//ve/9xpPK59qD4HlGt11112epDEnE1YJGjFihOuZuOahoPUHA5K84wJBOi6E7yHa63zed7R33nnneY0wJNLcJBjDFlts4fbbb79KpBnyDWnkngNHVjBC+L5sueWWfoWnqCbWF8jDnzVbr36J7diuYx5aUxNCQAiUGwL1EhHImbGtEkYGghhuaG54gIVblMxRnnJhPcpTLqxnsEBOwrJ85lhY1j5bHe1/QYAXAHwVwYiXBPY1KWh70DJCeqLXPlm/aLZ4YYF8hRq8ZOULfZyxMcZM58T9iUYOUm0pkJKNmbIE80AmITy8EMUJZlncOTLFiOtAuxDdUJMa13Ymx2iLNuk/ajJOVh/MuP8YQ0h8k5XP9Ti/Cdzj3DvRTBBxbVIeLLk/0aZnep/GtZXpscVLl7imjeP9PTNtQ+WEgBAoTwTKglCW56XVrIWAEBACQkAICAEhUBgEStbkXRh41IsQEAJCoG4icNFNf3JvT5mY0eR2GrSDG3XAqRmVVSEhIATKE4GatSuWJ6aatRAQAkJACAgBISAEygoBmbzL6nJrskJACAgBISAEhIAQyD8C0lDmH1O1KASEgBAQAkJACAiBskJAhLKsLrcmKwSEgBAQAkJACAiB/CMgQpl/TNWiEBACQkAICAEhIATKCgERyrK63JqsEBACQkAICAEhIATyj4AIZf4xVYtCQAgIASEgBISAECgrBEQoy+pya7JCQAgIASEgBISAEMg/AiKU+cdULQoBISAEhIAQEAJCoKwQEKEsq8utyQoBISAEhIAQEAJCIP8IiFDmH1O1KASEgBAQAkJACAiBskJAhLKsLrcmKwSEgBAQAkJACAiB/CMgQpl/TNWiEBACQkAICAEhIATKCoGGpTrb+fPnu6VLl7rly5dX2pYtW+an1LBhQ2dbo0aN/Gf2rVu3dvXri0eX6nXXuIWAEBACQkAICIHiQ6BkCOWPP/7oFixY4CCS7FeuXJkzmm3atPHEEnLZsmXLnNtRRSEgBISAEBACQkAICAHn6s2ePXtVsQKxatUq9/XXX7vEGN2SJUsqDRNtY6tWrVzjxo2rbBREU4kGM9wWLlwY285aa63l2NBoSoSAEBACQkAICAEhIASyQ6BoCeWcOXPcZ5995omhTWmNNdZwHTp0cO3bt3d8zkW+//5799133/nt22+/rWgCM/jaa6/tiWXFQX0QAkJACAgBISAEhIAQSItAURLKzz//3M2aNcsPvlmzZq5Xr16e7KGVzKdgNv/iiy/c9OnT3Q8//OCbhrD27t07n92oLSEgBISAEBACQkAI1GkEio5QopmcOnWqB71nz55ugw02KMgFmDJlivv44499Xz169HCdOnUqSL/qRAgIASEgBISAEBACpY5A0YU74y+JFJJM0t96663nNz7jtykpLAIEXaGZ/uSTT3zgVWF7V2+ZIHDnnXe6//u//3P33ntvJsWLogz3VW1/n8lEsXjxYrdixYqcMFm8dImbNnO6mzz9Azfvh3k5taFKQkAICIGaRqDoolAInEG6d+9e03Ov0j6aSTSV0QCgKgV1IG8IQCIff/xxN2nSJEcQlknz5s3d7rvv7oYOHao0TwaK9lkhgEvLn/70J+/OctJJJ7kBAwZkVT9fhd944w332GOPuYMOOiirMfy4+Ed3+1N3usdeecKtWPkLGe3brY87eZ8T3Tpd5ZqTr2ukdoSAEKg+AkWnoWzatKmfFamBCi2kJEIaNGhQ6K7Lsr+33nrL/eMf/3Dvv/++g0Cuv/76bptttnHrrruu++mnn9x9993nrrjiipw1O3Ud1GeffdZdeeWVbsKECXV9qjnNr169eo7fEwLuyAZRW2LZI2yfyTh4ufrLbZe5h1961JPJtdfq7jbuu5GfyydfTnUX/Od3bs6CuZk0pTJCQAgIgYIgUHQayrZt23oy8d577/mHQKF8GfHdpE+kXbt2BQG/nDuZOXOmu+WWWzxZ3Hzzzd0hhxziwqCrL7/80l1zzTU+YOqRRx5xI0eOLGe4YudOlgJcBDp37hx7vtwPQigvuOACb25u0aJFQeHAdYdUZIi9oIaEkiBA0p4lk9c+eN2988m7/vRfTrrErd+zv/+Myfvsa85zs+fOdnePv8ed+KvjkzWh40JACAiBgiJQdBpKUvfw488bOqYitFdmBq8JZPBt+vDDD93LL7/siSyaDKLKJTWLwD333OPJZP/+/d0RRxxRiUzSc7du3dz+++/vB/HMM894UlCzI1LrdREByFyhyeTcuXPdv//9b3fVVVe5F1980eHHiaB153fm6quv9udTLc7w2defuxbNWrjB/TevIJO00a5VO7fthtvw0U2fOcPv9UcICAEhUAwIFJ2G0hKRGzgzZsxwbLztk3+SjRVuqiOLFi1yaHfIR2npiaw9+ueHv9APIeu/HPbkAkWzhuAnmUw23HBD16RJE+/T+umnn1bxP+PaYe4lXykvBl26dPEvA/hdhtpO2uea33HHHf74kUce6V8i3nzzTX9v8RKB/+ywYcOqaI3Gjh3rg4T23ntvT4Cfe+45Xwc/WzSDjB/yGyf0yfg++OAD/1JEeVJS7bTTThVaq2i9r776yo8NX17uT+77jTbayG255ZYOjRvCPGgbLS5C+zfccEPF3PzBn/8QCPL666/7lzO08ORvZby77LJL0u8ReEKEZiS+d+DIS96uu+4aNpvxZ+Yzbtw4/z3je0Varn79+rntt9++yjWyRtHu8RJB/4y/a9eujnths802syJ+b9eUf44++mj31FNPeSzo57zzzvPm4VtvvdXfGyNGjIjN3PDRRx+5559/3o+PFGX0NWTIEH8/VOrs53+wYrzyyivum2++8Uc6duzoBg8e7DbZZJOK4iyqQJDftGnT3JNPPllx/K677vKfIbncbxDNZCt1HbjT/o4tTnp07uEPL1u+epnZuDI6JgSEgBAoNAJFRygJ0uAHGdKIppAHEg9WHjIWAc4PP8SSJRRtpRwefPaZB68RU/a2ag5mJtqKajwxs/dMpCiiL4gmD1T8+SQ1gwAaYTTQmPzWWWedpJ3w4D3ssMP8UptR8yAPazRAXFuuN/cED3s2NNsQjNBdgnLvvvuuL8vxRx991I8B/zrLR4o2HBMpbZkwVu4JiN0LL7zgXzasDvcjdUaNGlUldylk4fLLL/fEg/HxgkLgEds777zjTjjhBH//Wj/sJ06c6G666SY/LubORt/UefXVV32ENfc5BBJ/Xwti4p6GLEK+Q+H86NGjfbsch7yQkgsyD5k+9thjq+CPX+ttt91WsaAAZlq+k2+//XbWriCQUkgU4wADvp+MExLHuTPPPLMKoeK7989//tP3T9/MF5zpf/Lkye7www+vCNKya8rcwI3rGxXq8H3fYYcdoqccLwd33323P84150WHuULA99lnH096w0pgCW4I42Jedg9AeI877jg/T+4V7lvGx1zpg7Lcw3vuuafr27dvlWsV9pPu86RPJ/ki/Xv2S1dU54WAEBACBUOg6AilJRhHi8EPM9oRTEimUeQzGggSkrPlKpBI03iiNUE4hkbJxpBr26qXGoF581anPsnEVzXU/FirPMSvu+46RzoWHtA77rijD76AWEGGIE1o7NBSQcpC4cEOmdxrr73cpptu6skjRIRUOJA0rv8ee+wRVvGf0X5tscUWnmSgCYVoPvzwww5fUHw8f/Ob31TUYVzXX3+9J5Nbb721JycEhzBvSAna1gcffND9+te/rqgDQcanlPEeeOCBFdo4yCfjpQ5jJFL44osv9vXQnqJd22677dwBBxxQ0ZZ9eOCBBzyZ5MUMtwLud16w7r//fk+O0d5deOGFFRhBqDjG+NEGghHfCTShzBEii4BhOuFaMD7K0g44QNogWBznPGmIIGEmkE2uKwQfDKgDHswdwsiLAgFbW221lVWp2PMigWaa3w3IOwQ2lfAigNsFL6VgA8ljrK+99pofF1jjjoEGEoFkQiYhuYyZcYATLwFjxozxLzIQVMZgAumEvNMu7aDV5GUkSvytfCb7D2d85J5+8xnXoH4Dt8OgoZlUURkhIASEQEEQKDofSvMrCokAZjpMSEQAY2LkYdczoVGEcEJKeIDw4x0VfvyJHuahyA865BQSgflu22239Q8MI5PU5cdeUvMIGGHnuuQiEBE0gJhNIZSWGQDCdOqpp3riBOmEbMXJr371K2/yXXPNNf39AUEZOHCgL8qqSXGCBgqtE/cQ9xUJ9+kfwTQbyvjx4z0JYn4QQBsf9yqaLwRyxEuSCZo8NFqQL8bD/cxGwJIFJKGlzDSXIfPAbIwwbrBB0BLut99+ntxB6iBKJk8//bQnSUZA+d7xnWDOkKhsUnlBAvku0y/mdbSjfKdJ3cM1QzDrh+QUYsa9wUsE30/7DUCLbRpGUkyFdWzsYMS8uI6MPxWhBMPRCWJPO4wFckh55gr2EEnG/sQTT1jzFYsecD2YA9cGggzpxeSN8JIRCiQXwkl7aMz5LYLkWzaJsGwmn8lF+cfRl/ixHbLLQa5P1+Ta/UzaUxkhIASEQD4RKDoNJWYhNDm82dtDMJwwP+T4osVFtvKAQAPDngdntgSRBxzCD7+k5hCwlwauZbYCGcAsCgHYeeedq1SHhHAccoJGyYhIWJAXk6hAEiiPBjxOIBpRkmJ5DbnnIEJmlodMIfQTvQfxneO+hsxBRHmhoT7+oBDVuLFtvPHGXjuKnyhaRIhwOrExQJZ48QoFjCBtBIhAPJkbgmkdgShH58q1glhiFYie85UifyCjCN9l5hq+uEHAmBNibfGdNTIPmYzKoEGDvFaX6wMhi76M4PeYqaBxxQcWog9BjAovrJjKbTyct/mAK/egkV3OkaGAALLwWnOt0GCjjRw+fLh/6UXzjeYzqp2mjXQyf+F89/v//tEt+mmRG5IIytlvh9UvJunq6bwQEAJCoFAIFB2hJGCAhyYPITRMaIIyMY0CGA+nXMxJkAEeIKYxykYTU6gLVZf6MSKJyTBbwc8VTR6myiipsLYgbYgFTtjxVHvTImYzJqtDu6HmEMKLQHxIaB0Vq4eJF4HgQLIhLXH3L/c1voPZiGlNIalxYyCgBbEx0L+5IiQLMsqmf4KPuA5g8Ze//MUTWPyS2Zh/dJ4QakgY9wYvdvZyF/aJRhDNNGNOdu3D8sk+GzbcQwQMRYVxIOAB0QV/SCY+tNxTF110kbd0MBdM5RDJ6HyY48EHH+z9Ny2IEBKNi0QciY2OIfr/tQ/8x0EqN113E/f/Dj6tgohHy+l/ISAEhEBtIVB0hBLtICZsHOl5IOO8TxAFDzm0HDwg8yE8QCGtEBSLlqVdHgTVeVjlY2x1vQ3TPPPikK3YtUp1jewcvrYQkEJqnCEhFvTFvZtKzPRpmQYgOPkS8y/G79F8H+PatjGwkIBpjo0AxZXP9BgavNNOO8099NBD3ryPuZ4NwogJGC0ypNPErisvC3EE2MqxtzGHx7L5bNjgFpGqL14uuJZonnGZOfvss73fJXjiTsDGbxVR+JjO7b6zsYTzs2Nm7rf/M9n/8ONC9/L7r/iix4w4yvtPZlJPZYSAEBAChUQgP+wsjyPmDd4eyDxgeXiwFq+tx4sWB2IJKeEHPDQzpRoGD0sempBI29A+mPAQpV+0E2hVTMtl57XPHwJm/kxmXg57IigFDXLPhM8smmNLs5JqeUy7f9AaodUqpJj2lT6POeaYCv/JuDGY5t3mZJqxuLLZHrNxYGaNIzbWHq4hCMTIBBN8Pkg4Y9h3330dKZcIlMKkTjAMvoVYBNDgkQ4JsfFizsfvNJWQ2qc6YnPGLzbOvB62Hd4/XC98Sbn3IJXMhw3XAebF8o64BeRbZn03yzfZvGlz171jfIqqfPep9oSAEBAC2SJQdITSSAZajD59+njzNyYqSCAaJ86zmUkMjSUPCB5I7NkwUfFQDLc4UyZlITc8BCCoaElwosekJkKZ7a2UeXmipLlGEEV8ZTEbxglmZCKfuY6nnHKKL2JRt1wjXhLiXijMdYHrSj+FFMgh5AyTMgSkZ4IIpxMj2GZyTlc+k/No9XkJ43vBdymdUM5e4KprUo72xTXCl5MNckl0NRHR+BISOc81Mj9PXvqI1K7J62Z9oQ3NBJvofHhRwQeVjXuT5S95CSWoiZeIfEu3jl3dFb/5u2vUMHuf43yPRe0JASEgBJIhUHRhzZgoEfvRRwuJ7xEmMoIFCITgnDnFQxSpgyYTImEmbHydMKlyLiSTEEceWGgmdtttN+8LZSZYy1vIg0ZScwhAtCwylodwqCkOe0U7yQMbssPLBQL5QpvMNSLFS5yYqTkTMhdXv7rHTEtl44i2BxHm5ciEOZl/YDRSmDKQrDPOOMOnJuJzJmJjAKPQvzOsa981OxbWsWPhPtO+qfPf//7Xp22K+ihCFIn6RnihsBdIXhRwN+G6EgEfJ2BmZvm485kes5dFXmbs5SNaN8SG34/f//73fj6kdwqFl9KhQ4f6Q+Y7G57Px2c0k+t07e1Yz1siBISAEChWBIqOUJrpDdN3VCASmO8gI/gi8WCCZBKlShQoATykF2LjMymCMKmRpw9CykoolEUjFvV3oi/z44LASGoWASJf0S5jOrQ1vcMeeXCTrxCB+Ns14UWC1DoI/nkkog5lQiKPJG2iKSSlS20IKWzQykHmoqQSwnTjjTf6QBUjM8zNVgwiCjjUVFKevJEQa+7r0L/RTL+8REUFkgNxx0+QNEu0EworuJDEHVOtCTgjpBJCUx8KxNDKJnsBCMuTugcCSv7OKBG15OBo+hgjwr3APYHcd999fpUZ/8/Pf9CaXnbZZX599/AFMSyT6WdeNPB7pJ3Ro0f7F8+wLqT+d7/7nc+9yXHGhladeRC5HcXS5mMvpGFb+fo8PZEyaM6C+AwE+epD7QgBISAEqoNA0Zm80RbiA/fxxx/7h3IycyiTRqPBlg9Bu2APTDNB5qNdtRGPAETi+OOP9w90NFJgz4Me3z20y0bueTEwomMtYSbFBw/Sc8UVV/gXBHxrIZdsELQTTzzRazOtTiH3BJDx8kIycNIXQSrRikEUSUWDpo1I3zD9Dy9GJFiHSP/5z3/2c0L7BS74VvK9IM9iKJY7k1Q2kC1M1vj4oQWkLulsIK8Ew/B9Ip8jZBB/RrT3EFLT1tEu+JO26KWXXvKJxPFZZYyMmfIEp6BVzER4kWM+jO3888/3bZPqi/mZPzTLIYYuC7z48TLAxmo5fPfRXEKYua5oWkkDBcGrroAl7fK9v+SSS3xfvIQwV8aHxtjSQtEX15NgHrSaBOdA7vnt4X+sI9xzuQTcZDKP9xMr45z/n9+5po2bulsu/F9i3ySTaiojBISAECgoAg3OOuusiwraY5rO+FFHG4PJyYJneIBYjr801bM+DXnBsd5MWWguUwUxZN2BKiRFAOKOZpnrzEOZaGc2SAtuDaz+gtYq6k/H/2ifuSd4yLNBOGgDgkQi7+iSjpAyEo4jJLaPkhLuA5YdhNCaCZOy+PpxL5I2xtwwOI6g4UIDh9hqPf6fxB9M9GwQY7TtjI95QgwhThCakEzxGaKMUIfy1EOLZ8v6WS5EXyjxB0KDryakiLmjjYTUGF7gy7g5DkkCJ9qELKGhI9k237dQIPBogSnLeM0Pk2sBAcV3GeKZbmlSCBaWBL7LaPbolzZ5WYQkMv9ozk3GzXgZE2TPiCT3A+SWpPCGEWNOd00pg2aVMUBwQ/zAAGsF5J57DswZHyZ1iOyRRx5ZKcAGzTBjs3uVsTEnAnTwDWXVI7SyNSE/LfnJPfv2c65dq3Zur22GVbpvaqI/tSkEhIAQyAWBeomHzS+hzrm0UEN1+JHnoWrCw5OHsW08EHIRHi48FDA3sg99pTBrKQdlLqjmpw7+dDygucYQkkyFa2iBJDX14pHpWOLKYSKFsKLty1SjDgmD7EC+jCDGtc0xCBeEEsKULDobosQ9T/+ZpCdCk0l5NJ1x7iHJxpLsOMQXDS1tRUlssjpcV+pgSjaf6WRlq3ucfvhtyARv+uJehdByTSH9NS1LlyV8iRNBOenuhZoeh9oXAkJACCRDoGgJJQOGXKAhYYsKGgM2HnjRjbI8HHiQs7cN7QgPjqigyeGhlexhHC2v/4WAEBACQkAICAEhIAR+QaCoCaUNE+0KGhi0NmyhVtHKZLNHSwMZRVPDPmr+zKYtlRUCQkAI5BOBeyfc525+/LaMmuzYrqO78ZzrMiqrQkJACAiBmkSg+t7tNTm6n9vGv4wgDosIRXMJsWSPH5ttaCT5jEASww0TKhsEMldz+c/D0U4ICAEhIASEgBAQAkIgQKAkNJTBePVRCAgBISAEhIAQEAJCoMgQKLo8lEWGj4YjBISAEBACQkAICAEhkAYBEco0AOm0EBACQkAICAEhIASEQGoERChT46OzQkAICAEhIASEgBAQAmkQEKFMA5BOCwEhIASEgBAQAkJACKRGQIQyNT46KwSEgBAQAkJACAgBIZAGARHKNADptBAQAkJACAgBISAEhEBqBEQoU+Ojs0JACAgBISAEhIAQEAJpEBChTAOQTgsBISAEhIAQEAJCQAikRkCEMjU+OisEhIAQEAJCQAgIASGQBgERyjQA6bQQEAJCQAgIASEgBIRAagREKFPjo7NCQAgIASEgBISAEBACaRAQoUwDkE4LASEgBISAEBACQkAIpEZAhDI1PjorBISAEBACQkAICAEhkAYBEco0AOm0EBACQkAICAEhIASEQGoERChT46OzQkAICAEhIASEgBAQAmkQEKFMA5BOCwEhIASEgBAQAkJACKRGoGHq06V1dvHixW7q1Knuq6++cnPmzHE//vijn0Dz5s3dmmuu6bp27er69OnjmjZtWloT02iFgBAQAkJACAgBIVDECNSbPXv2qiIeX8ZDe+ONN9y7777rVq1KPZ169eq5jTbayG2++eYZt62CQkAICAEhIASEgBAQAskRKHlCOW/ePDdhwgT33Xff+Vmuu+66rn///q5bt26udevW/tiCBQvcl19+6T788EP38ccf+2Pt27d3Q4cOde3atUuOjs4UDAG0yVzDJUuWuI4dO7o2bdoUrG91VBWBFStWuK/nfu3mLJjrOrbt4Dq26+jq15eHTFWkdEQICAEhIARAoKQJJWTy8ccfd4sWLXKdO3d2O++8s1t77bVTXtnPP//cjRs3zs2aNcu1aNHC7bHHHiKVKRGr2ZNcD67hpEmTKmmXcVPYfffdPekXkanZaxC2job/0Zcfd3eOG+N++HFhxak1Wq/hjhl+lNt2o20qjumDEBACQkAICAFDoMFZZ511kf1TavsnnnjCzZ8/36GVPOSQQ1zbtm3TTgHNFybvb775xn399dfu22+/df369UtbTwXyj8Bbb73lrr/+en8dIPd9+/b117JZs2Yu4YrhNcofffSR22KLLUpKO/bss8+6hx56yOHT27Nnz/wDl2GLuYxj7Ph73OjHbnFLly117Vq1dRv12cDNmT83QS5/cC+//4rr272P69K+S4YjUDEhIASEgBAoFwRKNigHn0lMpGgm991336wIBxov6owePdprKmlLPpWFveVnzpzpbrnlFodpFex5IWjUqFHFIHBRuOaaa9z06dPdI4884kaOHFlxrtg/8JLyySef+HuzNsea7TgWLFqQ0Eze5Yf86z0Oc/tuv7fD53jx0iXun2P/5Qnl/xJkc7N+g2pzWupbCAgBISAEihCBknSKQvNDAA6CmTsXkyh1qIvQFm1KCofAPffc48kk/q5HHHFEJTLJKPCB3X///f2AnnnmGV2fAlyaz77+3DVr0sy1b9veDd96mCeTdNu0cRO36+Bd/Ai++uZLt3T5sgKMRl0IASEgBIRAKSFQkhpKUgPh64WpO53PZKqLQV3aIFCHNgcOHJiquM7lCYHvv//ea/BoDj/JZLLhhhu6Jk2a+ECdTz/91A0YMKBSUfxgCcj67LPPPOHs0qWL69Wrl/e7DLWdVMLP9o477vDE9cgjj/Tm9DfffNPNmDHDNW7c2PXo0cMNGzbMtWrVqlIf/LN8+XL3/PPPu8mTJ3utOCZ5NOM77LBDpfuP9ukH7SrywQcfuBtuuKGiT3/w5z+UQTOOD+ncuXPdGmus4U3+O+64Y5W0Vi+88IIz0z/3Kz7A06ZN8/U6dOjgttpqK7fppptWNJ/NOCoqJT5ssM5Ad+dFt4aHKj737PSLb/LyBKFs3PAXbXJFIX0QAkJACAiBskWgJAkleSYRtFvVFdqAUNKmCGV10cysPtH2vBBA3tZZZ52klRo0aOAOO+wwR5R+lOhBqK666iq3bNkyr0mD5L333nt+g6gdffTRrlOnThVtUw5NNCZcjj/66KN+DGiqV65c6b744gv3/vvvuwsuuMDRlslPP/3kLr/8cu/nyTFymJLjFEIIIf3Vr37ldtppJ18cAolPr6WuwiWDspDiUCCI9957ryeqzJHzmMjZXnnlFffb3/7WtWzZsqIKY2Ps9I1vJr6/Nm76AE9IqWncMx1HRQcZfHh/2mRfau0EsWzetHkGNVRECAgBISAEygmBkiSUPKQRzKLVFWvD2qxue6qfHgGi85FMUjZtsskmVRokYOe6667zhGzPPfd0ptWDXN12221e24xm8LzzznMQtlB8FHOCTO61115eqwd5hKxB8CCDaDyJ/De57777PIFDIwm5RasNeaMcQS8PPPCAW2+99fy9ePHFF/tqY8eO9RrN7bbbzh1wwAHWlN/jE3rXXXd5YnvooYe6jTfe2BNKXmqoR7AYY8ENICqvvfaaD/I55ZRTvDYTUou28p133nEEqA0ZMsSTzkzGEW071f/4Vt6c8J1Edtl851RFdU4ICAEhIATKFIGS9KG0FXAsz2R1rp21YW1Wpy3VzQyBH374wRfMJCo/rsU777zTr4K0/fbbOwilrXxEbtFTTz3VsYd0YqaOE7SKu+yyi189ifREmIxNOw3hC8XyllIeszgaTlZd2nvvvX0/EFTM0ZkKWkg0pNtuu63vF0KLtpFMA8wHmTJlSmxz9HviiSd6zXzDhg09ubRgJXyAmXO+ZeFPC93vbvyD+27+HLfJuhsnfCv3zHcXak8ICAEhIATqAAIlSShrAneIgqQwCGBiRqJ+jpn0TlQ4PpNcLzPxhvXQSNpxTNJxss02VXMpmn8m2sdQ8G1EjFjaOUgg5nHM4fhSZiq77rqrrxfVXFLfxoCJf+nSpVWaJN1VaAqnAD6UEGgk31p2yPKfb/2bmzZzuuvesZs748BRHnffmf4IASEgBISAEAgQKEmTN1olgh948Oaq5TIMaAMJ/ebsnPY1g4ARSYJdshV8XfGHJJ9osmuPJhHBfJypmJYzOibM1vhrvvrqq45UR5A6tJmsC4+WkC0XQSNOHk7M9AQpMSe2XMTuXch2PuWxVx537386yZHU/JIT/ujatNTqRfnEV20JASEgBOoSArk9DWsZAUx/Fk2bjFRkOkQCHhDalBQGAdOoQaSyFYugTnXd7RwBNRA3XkByFXw40Qo+/PDDPicmUdl8ZnnIQYMGud122y1rUvnUU095n0e0kGg6aR9Ca5pbxmqBPbmOOx/1nnjtad/MgTvt59q2TL9oQD76VBtCQAgIASFQmgiUJKHs2rWbT7dCdKv5vuUKv/m/WXBOru2oXuYIYKZFoubluBYIOMHnsmdixZnu3btXmHxZ8zuZLFy4eslAoqdNe5esbCbHWcHnjDPO8BpxAniIoubeY8lIPp988sl+Gc9M2kLTSaQ2KwMdfvjhboMNNqggpAQrXXjhhb6Z2nbBgNDOmjPLj2Xd7utmMjWVEQJCQAgIgTJGoCR9KPv0Wcf7cuHXhsYoV8EXjzbQEqVKX5Nr+6oXjwD5IiFMEEWCVJIJJlxW0yEq2kgimkEEf8FQoxe2wQoxCBHZ+SRmBHARTHPCCSd44gdh5R56++23w+5TfiYtEMJKTWg/czWZp+wkTyf/etKl7orf/N317LTahSBPzaoZISAEhIAQqIMIlCShxDyILxtC2pRkxCLV9aIOdRESaJsPXao6OpcfBEgXNHjwYN/Y008/ndS8i3YSszA+l3369PHl0W5C7PA3JI1OnLz44ov+MFrN6siMRNJzUg/98Y9/rLJSDy4SmLwRymUqFokdRySz8fnMtL9cy0HE1+na22/R1Eu5tql6QkAICAEhUHcRKElCyeVg/Wd88Vgthbx92ZBKylKHBNEQFK3jXfgbfPjw4V47h8nY1vQOR0EgDHkZEfwULZAHckMOSQTTcVRDTX5I2sQvceutt/blcv2DhpMgHYgefo+hXyNpekiEjoQJ1PmfgB3EEvD7f37+YxpWxhku98lKQDfeeGNFUdPIVhzI4UOqcWTSHKmCps+akUlRlRECQkAICIEyR6AkfSjN3M3uAABAAElEQVTtmg0dOtT7sWG2Hj16tE8XAwlIJZgo0UxCJvFjow1J4RFAS3n88cf768bKNpAzNIoE0EDgLPgGH0MIZShbbLGFXwZx4sSJ7oorrvBJvknvA7lkg3ySr9F8NcO62XzGFYL1xG+//XZPKF9++WW3/vrr+4AwCCCEkJeaKHE1v17KXHbZZT4i/bjjjvPmd5aavPbaa33k+Lnnnut69+7t80cSoBSuBsT9aSmLshlzWDbVOMJycZ8XL13sTrrs/9ySZUt8hPcGvbUsaRxOOiYEhIAQEAKrEShpQgkpYVUTtD1oKm+99Va/NjfLKRJkY0nLSQ1ENDcBOJZPELIBmbSIYN0QhUcAcnbOOee4u+++2xMsC5DC3LrWWmv5pOWsUR31g+T/Y445xrGEIZpDNJImpAwi2TfkNB9imvD777/fk9zXX3/dN4umdMstt/Trf/NiEgopjUhS/txzz3kfy/Accz722GMdK/DgB0oSc8zfm222mV9V55JLLvEr9mAap2x1JNU40rXbqEEj165VW/f9wvmudfOq65unq6/zQkAICAEhUF4I1Es8uFbVhSmj5SICNzRLxs0LrRM+kzJzx6FTu8eI+iZ6G62fmbgzGRGpgSBnvByEWr5M6mZTBlcJtKeQSbSH6XwLCTpiOUfKxqUuQivJ2CHP6drKZpzRsunGES1v//NdWrZ8mWvcqLEd0l4ICAEhIASEQCwCdYZQMjtMkFOnTvW+axAMHtZos0gdQxAFWkuiuRWAE3sv6KAQEAJCQAgIASEgBHJCoE4RypwQUCUhIATcl99+5U7++6kZI3HlqMtdry69Mi6vgkJACAgBIVC3ESjZKO+6fVk0OyEgBISAEBACQkAIlA4C0lCWzrXSSIWAEBACQkAICAEhUJQISENZlJdFgxICQkAICAEhIASEQOkgIEJZOtdKIxUCQkAICAEhIASEQFEiIEJZlJdFgxICQkAICAEhIASEQOkgIEJZOtdKIxUCQkAICAEhIASEQFEiIEJZlJdFgxICQkAICAEhIASEQOkgIEJZOtdKIxUCQkAICAEhIASEQFEiIEJZlJdFgxICQkAICAEhIASEQOkgIEJZOtdKIxUCQkAICAEhIASEQFEiIEJZlJdFgxICQkAICAEhIASEQOkgIEJZOtdKIxUCQkAICAEhIASEQFEiIEJZlJdFgxICQkAICAEhIASEQOkgIEJZOtdKIxUCQkAICAEhIASEQFEiIEJZlJdFgxICQkAICAEhIASEQOkg0LBUhvrWW2+5r7/+2s2cObNGh9ylSxfXqVMnN2jQoBrtR40LASEgBISAEBACQqCuIFAShBIy+fbbbxcEcwgrG8Syc+fOBelTnQgBISAEhIAQEAJCoJQRKAmTN5rJQkuhCGyh56X+hIAQEAJCQAgIASGQbwRKglDWtJk7DtTa6DNuHDomBISAEBACQkAICIFiR6AkCGWxg6jxCQEhIASEgBAQAkKgnBEQoSznq6+5CwEhIASEgBAQAkIgDwiURFBOLvMkqCYUmbBDNPRZCAgBISAEhIAQEAL5Q6DOEspNN920Ikp71qxZNZ5uKH+XRC0JASEgBISAEBACQqC0EKizhLK0LkN5j3bJkiXuu+++c4sXL3bdu3d3jRs3Lm9Ainj2CxYtcDO/m+nq12/gurbv4lo0a1HEo9XQhIAQEAJCoFAIiFAWCmn1UwWBzz//3D300EPuo48+qjhXv359r1lGw7zrrru6evXqVZzTh9pDABJ5w0M3ubemVM4Hu/3G27pjRhzl2rZsW3uDU89CQAgIASFQ6wiIUNb6JSjPAbz//vvuP//5j1u1alVC21Xf9ejRwyeTnzNnjvvkk0/cww8/7N0UDj/8cNewoW7T2rxL5i+c78697kI374d5rn6C4A/oPcAt+mmRmzZzunvunRfcrLmz3d9OutRfx9ocp/oWAkJACAiB2kOg5J/UYfCNAm9q70bKpucffvjB3XzzzZ5M7rjjjm733Xd3zZs3r2jim2++cddee61jhSSOH3jggRXn9KHwCNz97L2eTK7Zeg33z1GXuzYt2/hBTPn8Y3f2Nee6jxP7Vya96rbZcOvCD049CgEhIASEQFEgUNJpgyCTw4YNq9iKAlENIi0CaCDxl2zZsqXbe++9K5FJKnfs2NEddNBBvp333nvPE8+0japAjSHwxTdfel/JEUOGV5BJOltv7XXdut37+n6nzZpeY/2rYSEgBISAECh+BEpeQ1n8EGuEUQQwayNt2rRJ6iPZu3dv1759e08mv/32W08yv//+e3f33Xf7uscee2yVutOmTXPPPPOMa9eundtvv/18Of6MGTPGoRXdZ5993Pz5893LL7/svvjiC9egQQPXq1cvt80223hzO+b31157zU2ZMsV99tlnrlmzZq5nz55ujz328OS3osEaatPah0R/8MEHDh9TiDc44FO6xRZbVJnz2LFj/Zx4sUJD//rrrzs0vEcddZSfA3Pp2rWr23PPPa35ij3EfsKECa5JkyYO14Jk/qp/OOZ3FXWiH3p26uHQVC5bvjx6Sv8LASEgBIRAGSEgQllGF7tYpmpuCqRz+vLLL123bt2qDK1Ro0buoosuqnScaPB333230rHwHwgn5619O/fhhx86SCy+mBMnTnQrV670/n7sIW2s2z5q1Cj3+OOPezM7xAq/zhUrVnhSRp0LLrigkia1JtpctmyZu+eee9xLL73kh960aVM/BggiBJNxnnTSSZWIH+OAcCMhNhDRtm3b+mPUxbWA9kJ59dVX/fnNNtusUpthmVSfwW/yjA98kf49+qUqqnNCQAgIASFQxxEQoazjF7gYp9evXz+39tprezL3r3/9yw0fPtxtueWWNZ4uCEKGiR1tH+SKwKBHHnnEk81LL73Uk6oRI0a4zTff3Gs5P/30U3fDDTe4BQsWuKefftqNHDmyCpz5bPPZZ5/1ZLJ169buiCOOcH369HGQTMZ5++23e1L5yiuvuK23ruqrCJnccMMN3SabbOK1uR06dPCaR3xQf/zxRzdp0iQHcTSBDHIMGTRokB3Oan/f8w+4L7/5ynVs18Ft3HfDrOqqsBAQAkJACNQtBErahzLXS4EGy7Zc21C93BHA1HzMMcd4UgnZwWx7zjnnuNGjRzvMvZComhDSEKGpQ3MHoYQ4DhkyxHcFweL/3Xbbza2xxhqeXELoNtpoI39++vR4H8F8tom2tFOnTp64rrfeet4kb+McOHCgHwcm7Djh/HHHHefnQMQ8RBKcIc8IxDcUyPKiRYt8ufXXXz88ldHncW+Od7c+cbuP+j79wFGuWZNmGdVTISEgBISAEKibCJQloQwDeaLm0bp5mYtvVmuuuaY788wz3f777+9J1NKlS92bb77pUwmdd9557tFHH807scQvMypo9Ux22GEH+1ixN7JF4vU4yWeb+IViWsdXMioDBgzwh5KNAz/QOB/IwYMH+3qYxnEZMEHriWy88caeeNrxTPbvffq++/c9V3v/1mNHHOMG9MqekGbSj8oIASEgBIRA6SAgk3fpXKs6N1L8FLfffnu/oZ0joAR/RQJn8GecOnWqO+GEE6r4/uUTCCLNTVq1amUfK/aWzggNZqZS3TbxmURTO2/ePI8FffMZIXAoGyHoCPKODykk0szetI/Y/5m2uXjpYvevu692KxPjOHTXg93wbaoG+2TalsoJASEgBIRA3UFAhLLuXMuSngk+lWz77ruve+ONN9x9993nE5zfdNNN7uSTTy7puWU6+OWJSOlbbrnFk2qII4FJkFP2BNnkImgtMeU/8cQTvl0IJNHgaDqJsu/bd3Xan0zbnvjxO+6bed+49m3WdPsN3SfTaionBISAEBACdRwBEco6foFLbXoQIMy0+DkSsMOyjJCpaIRyqc0rk/Heeeed3tfRiDXmdDNjo72FbOYiRiiJ9g4j5fGvtPYzbXfmd7N80d5demdtKs+0D5UTAkJACAiB0kNAhLL0rllJjxjzLQE47AnM6d+/f+x80JyR5getHTkhCVLBRG5C4E7jxo3t35LfMx98SBF8KQkMypestdZafmlLcCSy2/wnszV3M56hm26fiOjeyLVu0Tpfw1M7QkAICAEhUAcQ+OUJXQcmoykUPwKQQhJ1o3UM8yZGR44fJWQSQVtpe9OoEaUcFdL7lKpggibvJfMjOjsqs2fPjh7K6n+0lAipifBX5RoQDZ6tsPziOl17uw5t22dbVeWFgBAQAkKgDiNQ0hpKfMGIBo6TaJqUsExYR+t/h8gU5jOpeW688Ub34osv+oARoqvRRposXLjQ3Xbbbf5fiA9LMSL4EhJgAvnCz5K0PhxDIJgPPvig/5xt4IqvVMt/mCdkG83tuHHjfL5M+59E50899ZQfIal+chFyTeKXOmPGDF8919yTjI+VcXp16emaNq6cKD2XcamOEBACQkAI1A0EfnmKl+h8khHCZMeZZqpzJQpDSQ2b3I5Eb998882eBI4fP96vlkMACksksoQiaYTwmzz++OMr+flBRknyjU/h5MmTfVAJq+1AMkvZBA4x3nnnnT1xRIvI/Lp37+4JINpcItDBZu7cuR6bbOdKfdwLwAzJxdxNvTHPjHVjxo11A3sPcJee8CcOSYSAEBACQkAIOJm8dRPUCgIk4j777LN9AA6peQi+QevIHiHh+Pnnn19lGUVW1GG1GwgV2rp33nnHp9Zh9Zijjz66VuaSr05ZMYiVelhbm7mBBSZw8qaedtppvhu0r6QVykWMRJJ7tXPnzrk04TB5oznt2G611jinRlRJCAgBISAE6hwC9RK+WdkltqsFCFj+rjaElUckhUEALZylsonLBxkdBaZXykO4MBebb2W0XCn+z9zIG4nkc26Y0h944AG31157OVb4yVUWL12SMHc3ybW66gkBISAEhEAdRKAkTN5oVAptptYKOoW92zFvd+vWLeNOvZbsZ9/KjCuVSEHmxlrc+RRcCJ5//nlPvHP1n7TxiEwaEtoLASEgBISAIVAShJL1jQtNKOlTIgTqAgKQSTST+F9utdVWPrAp03mdc+357oMZH2ZUfNjWe7gTRkqrnxFYKiQEhIAQqGMIlAShNI3K119/XePEEs0kCZ9z9TGrY/eHplPCCGA6/+tf/+pIOUQKptatW7t99tHqNiV8STV0ISAEhEDRIlASPpRFi54GJgSKGAEI5ahRo3xKpg022MDttNNOOeWeLOIpamhCQAgIASFQJAiIUBbJhdAwhEBNIMAKPESGZ5tmqCbGojaFgBAQAkKg7iJQEibvugu/ZiYEahYBS/xes72odSEgBISAECh3BJSHstzvAM1fCAgBISAEhIAQEALVRECEspoAqroQEAJCQAgIASEgBModARHKcr8DNH8hIASEgBAQAkJACFQTARHKagKo6kJACAgBISAEhIAQKHcERCjL/Q7Q/IWAEBACQkAICAEhUE0ERCirCaCqCwEhIASEgBAQAkKg3BEQoSz3O0DzFwJCQAgIASEgBIRANREQoawmgKouBISAEBACQkAICIFyR0CEstzvAM1fCAgBISAEhIAQEALVRECEspoAqroQEAJCQAgIASEgBModARHKcr8DNH8hIASEgBAQAkJACFQTARHKagKo6kJACAgBISAEhIAQKHcERCjL/Q7Q/IWAEBACQkAICAEhUE0ERCirCaCqCwEhIASEgBAQAkKg3BEQoSz3O0DzFwJCQAgIASEgBIRANREQoawmgKouBISAEBACQkAICIFyR0CEstzvAM1fCAgBISAEhIAQEALVRECEspoAqroQEAJCQAgIASEgBModgYblDkAh5j979mzfzVprrVWI7tRHLSGwePFi9+2337oGDRq4du3auWbNmtXSSNStEBACQkAICIHCIlAvQXZWFbbL8uwNUskGqRSxdO6nn36qciM0bdrU1atXr8rxYj8wZ84cd/fdd7tJkyZVGmrbtm1d165d3dChQ13//v0rnSuHf+6880730ksvuR122MHtu+++RTflBYsWuJnfzXT16zdwXdt3cS2atSi6MWpAQkAICIFSQUAaygJdKUjkokWLPKksd2K5cuVKd9ZZZ1VBvmHDhg4SNmDAADdkyBDXuXPnKmWK7QBz+c9//uO++uorT4Z79erltZPff/+9PzZ58mTXu3fvsiSUxXatbDyQyBseusm9NeVtO+T322+8rTtmxFGubcu2lY7rHyEgBISAEEiPgAhleozyVgJSuXDhQt+eNJarYe3UqZNr0qSJ/2fu3Lnuu+++c88995x7/vnn3YgRI9wuu+ySN63lrbfe6uhjzz33dH379s3LdYUwQiaRc845x2skrWGI5nvvvWf/al8ECMxfON+de92Fbt4P81z9hDZ8QO8BbtFPi9y0mdPdc++84GbNne3+dtKlCa2l3MuL4HJpCEJACJQQAiKUBbxYLVq0cC1btqwglXRd7sTykEMO8Ro8uwwLFizwhPKpp55yDz30kFuyZIknlna+OvvPPvvMff3115Xwr0571J01a5Zvolu3bpXIZHXbVf2aQeDuZ+/1ZHLN1mu4f4663LVp2cZ3NOXzj93Z15zrPk7sX5n0qttmw61rZgBqVQgIASFQRxHQa3iBL2wy/0mIJdos9uUsrVu39gTy+OOP9zA8/fTTbsaMGUULyY8//ujHhq+kpPgR+OKbL72v5IghwyvIJKNeb+113brdV2utp82aXvwT0QiFgBAQAkWGgDSUBb4gcVrKcAjlrrE0LDbYYAM3cOBAH+jy7LPPuqOOOspOVey//PJL98Ybb7jPP//cm7LXWGMNb8recccdHQE+CBrPu+66y3/GrxEZN26ce/PNN12PHj3crrvu6o/Zn0zapOxrr73mXwBMQ/nxxx+7G264wTez8847O3wp08kHH3zgXn75Za/lxMSKlnP99dd3m2++eaWqU6ZM8S4AXbp0ccOGDat0Dh/O0aNHexPtEUccUcU9AC0v9xSBQZmY+VesWOFef/11jyvBRmDKuHA9gOzHCZrfF1980RP/Ro0aubXXXrsKrtF69PPMM8+4Tz75xEfG4y/L9d5mm20crglEzB9++OEV19Hq44c8YcIEB3a4j1APH9WddtrJR9dbuWT7Pxzzu2SnXM9OPRyaymXLlyctoxNCQAgIASEQj4AIZTwuNXo09KVM1pGIpXMQQyKn0dwuXbrUNW7cuAKuF154wd17771ueeLhT5oe/DAhJ2yvvPKK++1vf+vdCzCZmx/jqlWrExpAgCChkLFQMm2TOjNnzvTtWpvz5s1zRlg322yzsNnYz5Cp+++/35+DhEEoIacQ5HfffdcdeuihFWmHCFTi2EcffeR23333SsRp6tSp7u23VweXbL/99pWILNhAxpctW+b22Wef2HGEB5kL5HTixIn+MO4ZtA+mEPBjjz3WrbPOOmEV99Zbb7nbbrvN98EJAqvAljGROilO0Opef/317tNPP/WnmTvk9f333/dz5HpBOA866KBKhJJ6l19+ufvmm288cebljPuD7Z133nEnnHCCa9NmtQk7rt9Ux7gXJs/4wBfp36NfqqI6JwSEgBAQAjEIiFDGgFJMh8qZWBKwg0CIIBwW9T19+nSvdSTFEMRr44039oQSLeHYsWM94YBsorHr0KGDu+qqq3w7F198sfehPOaYY9wmm2zij9mfbNqkzt577+23Bx54wGs8t9xyS3fYYYdZcyn3kDDqoUVl/BtuuKEnlBAsCB3kiByWnEN4AWnfvr0PWIIMo5EzMbLM/3wONaO4CoAdOK655ppWJemeMUEmaQPs6BMiD/GFbKM5vPDCCysILQSaYxBXSPRee+3lo/TR8j7yyCNei0hnRrqtY84xV+YIZmhlIf4QSrTJkMmo0AckFDK59dZbe4IMfhB5MKO9Bx980P3617+OVs3o//uef8B9+c1XrmO7Dm7jvhtmVEeFhIAQEAJC4BcE5EP5CxYF+4RmJVuBWEIY2JeLYGJFe4eY9o/PaMwgSdtuu63baqutPDFBy9WvXz+Hlg7BTJyN1ESbcf1D8CBhkCxMuhBbNKyQ4z59+rhTTz3Vk8tXX33VffHFFxVNkEoJQUsZCvdEq1atvGYwJJeUYU6I1fX/JPkDoUZrikDyIJMIWuH99tvPY0wEPuZwE/xbIXpGQDGPcx0weR933HGue/fuVrRiz3XEzI9A/jbaaCN/jdGGci3BJE7Gjx/vSSPa2lBziRbUtK9od0ksn62Me3O8u/WJ233U9+kHjnLNmjTLtgmVFwJCQAiUPQJFr6HEtBg1TZbzVTONZfPmzf0D21Lu1FVM0EJBwtCUmeD3GPV9tHOQJ5KM4zsZNZNbmbh9TbQZ1w/mYEgYWkc0k1HhOCQTLSZmYyNlzIt0ShBl0h4haAJJg0TOTogapl/uD9pA0NgimRBKMz+vu+66FfV95cQfCC9jgghCPCF+CP0hkPhoQnrzpYQUh+cgucwfworPZFTo3ySsZ+PDxxLSGgq+sKbBRSuLVjpTee/T992/77naE/zj9jrWDei1fqZVVU4ICAEhIAQCBIqaUFpewmC8+vgzAviTQS7wactF41kKQKLFsxV1LMgmHDcYQLzQnEGoIJ5s1ZGaaDMcD4QHgSiGhMkf/PkPBIl5hdpoAmrQFlLfiLJpJCGmEGgIHscIoIG0URbcon6PYV/2mbIIPpCPPfaY/xz+IRgGwfUA4SUPczNC0E6mwrVCCDBKNv+4tjD1I/Pnz48dn90fNr64NqLHFi9d7P5199VuZeI+O3TXg93wbVYT9Wg5/S8EhIAQEALpEShqQokpD7JUFzWURpTSX6L4EmiNOnbsWGfJJLOGJEKMkGiwBXkqn3jiCU+u0FhhMoVUhPdK1HfPN5TiT020Ge0OrSKSLGCFc5h1ESNffEbjh/YO0kigDH6HBOow5/XWW89HRYODEUo0iZBrtJPcK+nEzOtET7MlEwgdAoE1rJNFf8e1YfWzqQNxtQUBiCZPJdZ+qjJ2buLH77hv5n3j2rdZ0+03NH3QktXTXggIASEgBKoiUNSEkodoJtqVqtMq/iOmXcp2pBAnTJp1VSsZ4oG7A4JmLgwqwb+QdDhggM8dKYbQrCGQDwJHkGw0YDXRph9E5I9dN9LiJBMjT1HSCTmEUKKZ5h5ghZ5BgwZ5wki7+GBiUobsmf9knFk5rl/zVd1jjz0qBf1Ey1qkvc2D82hMccHIRHhJREIXhnT1bGyUI6DKtJFx9aKYxZWxYzO/m+U/9u7SOyPSbfW0FwJCQAgIgaoIFDWhrDrc8j1STkTSrjIaSMQCN+w4aYGQfffdt0q0tpXJdl8TbcaNwfwbUwWPEMmMYPoOxXwhIZRGnEI/TKLd8ZskWhpCCaFGk5mJEOTEKkKQt/79+6etQjm0xmgEMTObVjVdRQJ3kGxM09z7EFjM7sy7Z8+evo3q/hm66faJiO6NXOsW8fk1q9u+6gsBISAEygmByt7t5TTzWpxr6BuXbhg8TNHSkiom1Aqlq1fq51nLG7MtZlzyUYZi+JlWMjxnZCw8lsnnmmgzrl+uI0QP4hdHKtHcEa2MRIkTZAzih2YSAsz8jWRSHnJJ2/hfgh1+mpmalonMRkjYHpe2h3P4l4YS1gmP22c0pVExkjxt2rRKJn0rl8xkbX0lM3ljfs/WjYTlF9fp2tt1aLs6ot3GoL0QEAJCQAhkj4AIZfaYFaRGORJJiAxm7v/9738+nyRADx8+vCLS2YDHdxSZMGGC9x2040QC33jjjfZvhd+dHbDgETOl23H2ubYZtpHJZ5ZoHDx4sPc/vOWWWyqNEX/RO+64w2viSMUTt7INJmx8QyGVnA/Nv2gJIaGQVdoKyWa6sQ0dOtRr/yDWd955Z5XgpieffNJdcMEFXvtpbe22227+I6mELBm6nWM1IjSlSOjLSjAO4+IYCdFDEvjDDz9Uun5hvZEjR/qXCwhvlFTiK8p1/8tf/hJL0m1M0T0k9MMZHzmCcyRCQAgIASFQPQRk8q4efjnVNm1YXOVyM22PTiSlxnwKecAMatoxtG/kPyQlTlRYLebaa691aLnOPfdcr70FU4J4zEePOphwzcTK/5AxVnwh+IaoYcgdRAXJtU1fOcs/9En6ILSIJFsn2AYMCLYBA8gtq75wLCqQMcgaEpq7rRzuAbSLZEMo8Y085JBDPDHDnxRSimac68K4wBa8TMNI+5BX0vi89NJL7qabbvLEH19X+rdrAUmMCgnQKUO7f/jDH3weS7SfRJrHaZ2pz8sAy06SFH3MmDGeVDIWfGZpC2LKkpWhr2203+j/Y54Z68aMG+sG9h7gLj3hT9HT+l8ICAEhIASyQEAayizAykfRZGSyHDWS4ElqKDDB/ItJH80cWsmLLroolkxSB79AlgGEPKCdwqeQQBZWayEgxyLCo1hDKDE5Q1qJZIaQmuTaptXPZo8Z+uyzz3bbbbed11SSbxLNG1hAEk855RQftR7XJuNHK4lpO45Q4keJcD+F5C+uregxfCfPO+8870MJEcT0DgGnry222MKddtppVUzoBx98sBsxYoRPfA5JRlMJviRHj7oqWH8Q07POOsuPD79INJmQQoj1qFGjrFiVfJNoREn8Tn00tBDZDz/80PtvkpuTROm4SGQqmLwp37Hdao13pvVUTggIASEgBKoiUC/x0F29wHHVczpSAwhEo7vLTSOZb0jRhKHdItglk/Q4aNwgbiz1RzJsi1oOx5Vtm2HdXD6jZWMOEOTQhJ1LW/+/vTOBlqK6/vVmHkQBFcQBRVSi4oA4DwhG1Kg461KJ4oCiLonJy4ouNerKP4k+I88Xn74YjS7F4a+C8zwhEVFwnnBEBVQmUVARZIbX3yH7vrpF9b1Vfbtv36Z/e62mhzrjd+pSv9rn7FPFysN0MCKf9rhAr6tsuJIenmkDdCiPaHf3yuKRZfuiv/3tb6HeESNGBDGbVC83EqyXbSizxUuXWNvWbZKq0G8iIAIiIAIZCGjKOwOshiaNeswkJBtKc3V+xEsWAYO3rb5p0axlNrQnRC571HZDyypWfjx3HpGepky4+jrU+tIj5lmOgAcVwYrH0c33wCT4iDLzGeIzmi9fuvp+l5isj5COi4AIiEA6AhKU6Tg1OBVikpeEZINRqoAKJ8CzzNlP84QTTgjrHt1LzNQ/wT/YwIEDi97L/33f/7EX3xmXqtzdt8stnzj90lRplUgEREAERCD3pDVBKD0BhCRrxQhyqKatf0pPVjVUIgEeDUkADtHko0aNCp5QtgvybYn69etnvha0EvunNouACIhANRLQGspGGHXEpIRkI4BWFRVDgKAf32uUYB6etMM0d//+/VNtrF4xHVVDRUAERKBKCEhQVslAq5siIAIiIAIiIAIiUCoC6ffYKFULVK4IiIAIiIAIiIAIiEBFE5CgrOjhU+NFQAREQAREQAREoPwEJCjLPwZqgQiIgAiIgAiIgAhUNAEJyooePjVeBERABERABERABMpPQIKy/GOgFoiACIiACIiACIhARROQoKzo4VPjRUAEREAEREAERKD8BCQoyz8GaoEIiIAIiIAIiIAIVDQBCcqKHj41XgREQAREQAREQATKT0CCsvxjoBaIgAiIgAiIgAiIQEUTkKCs6OFT40VABERABERABESg/AQkKMs/BmqBCIiACIiACIiACFQ0AQnKih4+NV4EREAEREAEREAEyk9AgrL8Y6AWiIAIiIAIiIAIiEBFE5CgrOjhU+NFQAREQAREQAREoPwEJCjLPwZqgQiIgAiIgAiIgAhUNAEJyooePjVeBERABERABERABMpPQIKy/GOgFoiACIiACIiACIhARROQoKzo4VPjRUAEREAEREAERKD8BCQoyz8GakGOwM8//2xfffWVffbZZ/bjjz9WNZNZs2bZ8OHD7Te/+U1RONx7772hvAcffLAo5VVqIX/+858Dh/fff79Su9Ak2t3UOc5fON8++fITm/z1Z7Zw0cImwUyNEIFqINCyGjqpPjZdAojIp59+2j744ANbtWpVTUPbt29vv/rVr2zAgAHWvLnue2rA6IMIiEAigZnfzbRbHrvN3vr07VrH+/fpZ0OPOMM6dehU63d9EQERKC4BCcri8lRpGQi89dZbdtddd9ny5cttnXXWsS222MI6d+5s3377bfBUPvTQQ/bOO+/Y7373O2vRokWGkouXdNGiRfavf/0rFDhs2DBr165d8QpXSSIgAkUh8OOCH+2Smy6373/63po3a2a9e/YO3skpM6fauHfH26x539g1512lm9Oi0FYhIpBMQIIymYt+LTGBmTNn2p133mkrVqyw3Xff3QYPHmytWrWqqXX69Ol244032tSpU+2JJ56wo446quZYY36gfUzDY3yWiYAIND0C9//7wSAmN1hvfbvut9daxw4dQyM//WqyXXTjJTY59z7xg1dt3532aXqNV4tEYC0hoLnEtWQgK60bDzzwQBBo2223nZ122mm1xCR92WyzzeyEE04I3XrhhRds8eLFldZFtVcERKCRCHw9Z7qt024dO2K/QTVikqp/sXkv69V9m9CKKbOmNlJrVI0IVCcBeSirc9zL2usffvihxuvHOsl8ttNOO1mbNm1syZIl9sUXX1jv3r1rJSV45cUXX7Qvv/wyCM5NNtnEttxyy7DuMurtJNPChQvtnnvuCcL19NNPt48//tjefPNNmzZtmrVu3TpMtx9++OG27rrrhjo+/fRTe+mll8J0vFd69913h6n3vfbay3bcccfw8+jRo0MQEXnxur7++us2Z84cO+OMM0KZnvejjz6yCRMmGG1mTSiCefvttw/eWU/T0Hc4vPzyy6FP9H/zzTe3gw8+uN5iP/nkk9BX2saU/qabbmr77bdfrfZTyOeff27//ve/beutt7Z9993XnnvuueBBnjt3rsGe8YJNPvvmm2+MmwOY4+2lHvLstttutbJkHatamXNf3n777bBUAi83Syh69uxZLwfaw9i98cYbRn/WX3/9MEYHHXSQrbfeerWqGD9+vMFszz33tF69etmYMWNsypQpNm/ePOvSpYvtvffe1rdv31p5/As3RuTlBU/Ob84FxmmDDTYIyRYsWGAEUmFHHHGEdevWLXyO/jNq1CibP39+4O3nYvR4/DNM+VvhPKT8jTfeOHA58MAD8y4nKYQjbXr++efDGLNcpHv37qGNXbt2NW4iGY/jjz8+3jxLe26skfE/P/zX0CvyHbIe3bYwPJXLcktrZCIgAqUjIEFZOrYqOQ8BxBwBOIi3rbbaKk8qCxe6U045JVw4Xeh5Yi7gN9xwgy1btsya5dZMIYSI3uWFKDjzzDNrXYhJ995774W0XKCffPLJ0AbE3cqVK+3rr7+2SZMm2WWXXRbKQlRQVjRQiMAh6oq2mb6w5hOjfLeoRxUR9fDDD4dDCD3qRLzRTvL8+te/DnV63kLeWY+K4KWfWMuWLUPUPKKAi3g+GzdunN1///3hMAwR+wRKIa6OPfZY69+/f03W77//PrQXNi6OWduKGPvuu+8CL0QSyxfigVSI3euuuy60j7bBARFB+z788EM79dRTa/JkHStvIGPFultErxsib/LkyaHd7CSQZOQbOXJkEKEc79ChQxB7LHXgpuOss86qNeacK4xb27Zt7bHHHrPZs2eHtnMewYFzgnoHDhxYq7qlS5eGcxYWGLwRXXyH95AhQ2yXXXYJ9VPOjBkzwjmMqIwa/BG1WJqlIPT72muvDTc6nL+sV+Zc5vXuu+/aOeecYx07rp4ipsxCOSLgb7rppnAOUQ7nBmxgiMCGWZI4znJuUG4WY0w+nPZRyLLdFttmyaq0IiACGQlIUGYEpuQNJ4AwweoSOl4LF9i4IUS4cBHMc9hhh9kvf/nLcHHnIoyoQtTccsstdumll67hfeFiiZg88sgjw0WOizoXOrbUYbsivDiHHnqo7bPPPuGFN+fiiy8OTbj66qvDxT7eHr5TBt422os3Bk8VhtB75JFHQvsQjqRBbOFxRcRwQacNHCvUEIEe3IS3j7516tTJuMCz/hSvFEbfo4aAxmuEmGDZwTbbbBPSvPbaa8FDBhOWJNCfqFEuwoBgqR49egRRBLdnn33WXn31VfvFL35Ry/OKAGK8uLifeOKJgStiAwa33XZbENZ4+vDsRS3tWHkexgAxiWhCaDGGCFfqwePHWCYZ40PwF95tOGy44YaG+OMmAOEG28svv3yNcwlO9P/8888P7OCCt5IxfeaZZ4KXF9GJ0RfGG/GEhxcBjUeSGws84dTDuYtHj/r32GOPUD/tigtKxg0jbXxswoHIP/yN3HzzzUFMwoObBNrE3yDtgc2jjz4axKxnK4Qj/bvjjjuCmMT7Sf/wvDL2eM25qUqyQs+NpLKSfnvopUds+pwZ1rVzF+uzzU5JSfSbCIhAkQhoDWWRQKqY9AR++umnkBjRU4ghDvC64D1DUPpFmwsxezfyjujkQp1kRx99tDGVyQWd7YkQMjvssENIShBQIUb+s88+OwgpotUpF08bYoSLLRdYxCZCCsGDqKCtiEtEGF6vQo0pRoSDCyKmaymXKW/ahPCIG15FBAVtgyGCjnaRDx4ISQQgwihuePBoO33A24j3GNGz//77h6QIy6jdd999xpjT/379+tUIMzy9BxxwQEjK1lG0JW5px4q8Tz31VMjO2OIdZAwQlNtuu23Yf9LPk2gdjLeLHbzhnDsYyyCYmkXsc6OCBzFunD/nnntuYAUHxKV7DPFQcw66IQLxeMMKAerT24gvRDZLBljagdca23XXXcN4sHwCT2XUEHxYfKlANI1/Hjt2bBCN/K2ddNJJNX8r3MwhLjHqdC97oRwR0YhjeF9wwQXh3ONc4sbqmGOOCeLa2xR9b8i5ES0n6fOYN8faXc/8d4j6/h8n/tbatdEODUmc9JsIFItAkxeUrP3hP+b4i9/d8qWJ/odO2rTp4nX5d68vS1n56ixG+6PtqaTPCBWMi09WQwjh5UH8xKcUKQvB5r8z1ZZkrP+Lm6/PZKqyEKNM2hQ1po4RehtttFHwTEaP8ZnfEVlcxJn6LdSYusQQ2PE2wBhhiUWP4U1DwCCyiLKPm4uVJIGNOIlOkXpe1uNhTHOylg6jb14GYjJuLpzgnrShfdqxwkvLGlb6GJ2m9/oQNvG1kBzDQ4chqBmPqHEuMT6Y9yF6fOedd17DY009LkrxvrmxbhRzr2n4EvkHrzLlIUwxGOPpxaLnBjdStJl+wq4+8/7BEYEXNW58aCtj5O0rlCPT/Bhtii9P4Xf4xq2h50a8vOj397+YZP/3gX+Evp11xFDrveX20cP6LAIiUAICTXrKG9Hl/yHG+84xFttjTGXFxaOnx5vCmiEsX1kc84tJknjkuJunq6ssr7Mx2u/t8fZVwrsLScRWVsNbg+cPQZPPw8mFEsO7k9bce1VIm/LV4RdpPIRRMRdNT1uZFs93/kbTJn1GnPsSAqYY05q3DY5M08bN14BSNhf+fO2P5sPrBkfyIhARcHit+M6YE+jEK254ARFKCLB8YxrNkzRWeBEx/taTxG40f/Szc0DIuYczetxv/KLiMHo86TP9wbj5cePmAktaQ8jveLjdS853DKFP8E502pubB8Yc724aVtx8YYj1pP45S+9foRw9H4FWaa0U5wZ1L1662K6//x+2Mnfe/vrgk23QvoelbZLSiYAINIBAkxaUXBwQTP6ferSfUSGFgEtKQ3oXk3zOV1Y0DWVhSeX5MY7nK4tjXl6p2x9tD/VWirkHB29IVsOzhtV1MfVjBDwgVJj6LId5W+taK+pt9Qty1nbiCXSPb5IHLl95PsWOkE0SGp4Pgc0NW5LXydNE3xFzCEgfW2fATUBd9VBGkocyWnZdn72+LGKS8pwD60x9rWlSPQ1pG+UhnrAs7cNjyZSwT3sj1pg2x5K8yuFA5B9uBnzdKOsY6zLvX6EcPX+W/pXq3Hhn8rs25/s5tmHHDez4Aaun9evqu46JgAgUh0CTFpR0MSoc83UZ4ebeynxpspTlgrChZWWps1jtr6vNTeWYB6ykmV5mbRbr73rk1qfh6XMRzXRtPvOLKFuyuLcoX9pS/u7nkXv7kuryttYlOpPy+W9eB98JJEkrnlkjiBEklDQVHQ7+558sDP1GzPO4NxrvJWv46rIs3q14Oc6hrvMinofv3j4Cser6G3ReSWWk+Y3zFtFV17kQLwfvIeODBxsvJQE4iF6mrvv06RNPvsZ37xsHhg4dWrN+co2EuR/8/CuUIzcc3Jxk4e/tK/a5MfO71eK95yY9a9brJvVZv4mACBSXQJMXlMXtrkprCgQIQGAKFaHI1ixEFycZU4Y8TQehRCAD5lGtTNHhmYuvCyONBxiwdjDNVC15SmF+M+TtSarDp+V9mj4pTV2/cVHGK4RYSTtlTHneNjyHBOAUwxgnF8gedOL14EklOKZU4xH1euc7L5L6yBQ0az7hWCwOSfVwE8VyjTQ3UdH8RHu7oOSmCsbsX+o3VtG08c+kQSAi8hGM5K/PCuVIIBjmU+f11cPxUp0bA/r2z0V072zrrVN7/9A0bVIaERCBwgnUXqVdeDnKKQKpCXBx40KJEaHMGr0kwzvJBZSLPRHFmAdXIITYtiXJfHovzQU0KX+xfsPjhYBiH8QkUUnfPKq3IW31oJt8PDxAJtovF7AI+qS2kZblAkkG+yTzSGi8pO7x4gYATxt5vK/xvCxN8Gn7+LG03xGwCCim6BFgcaN+6olblF10zWM0XT4O0TT1ffZ6ktpGXvbPHD58uLFRftQQufQL759Hz3vAVDRdvs9er/9NxNPBPcqlUI5+PjHGSWPpU+LR+kt1bvD4xa027WldOq2O2I/Wqc8iIAKlIyBBWTq2KrkOAoMGDQoRrUzh+TO9o8nZuNwvroccckjN1CSRt0TEYmwq7cEOnpf9ECmTizARtQ01yvF1jkQRZzGmcBHOXGDpo3vvKAPhw5N78B6x3U8+L22a+uCDIeiYGo0aATe+b2FUuCNgWaNHO0bmtg/ytXOel6jdK664Iuxj6b/5O+KGvQujBhu2/sHYCohxwgh2YawxRBPjGjU8WiNGjAjPbacthVo0up+2+ZpFyoP/7bffHjzi8fIHDBgQxC99YjuquFhGxLHZvTOM50/7nchzpoWJFmcrn6ixjtO3uIqvjcQD79Hc5OXmimnwtMY2RpTBzUZcVNLXW2+91dhf1W8qCuXIVlP8rTCejHP0XCOAkb/VuJXq3GC8P572SQjOidep7yIgAqUjoCnv0rFVyXUQwIM1bNiwIGbwanDBRuTg3WIa2Bfs81g5F0xeHI+84+kqiKe///3vQYwx5Ya45MVFl/0Bfa2m5yv0nS2FXnnllbBZOlu5cEF3D2t9ZXJBp02Igb/+9a9h+xTax+brXHzx0vCkEn4r1ODGtjC0kY3CWWuKp4k6EYoIGd/7M1oH+ywyDUsk8JVXXhk4IgrIxzQw6yB9O6VoPtqKUGU/RKKNEcp4YVk/xzQmIi1q7E+JyOfF03IQz/SbumGDZxAR6lvmRPNm+Uw9bBXFuXPNNdcEoc7aR1gjVulP1BtH2RznyT4IK/YDpR/0CUFEPvhxY+AeuCztiaZlPS/7TY7MiXcEF+1knOi/BwZxnnNzETfONZ5ohBEJ7pHZ8XRJ34n857GgbHBPgA+ikr4QsMM4wwMR60sUKKNQjuw3yebs3NQRjU7/OI8Q9/Q/yUpxbtz3wmi7b8xo26Fnb7vqnL8kVavfREAESkBAgrIEUFVkOgKsBeMpNDz6D88VW6RgTBMjTNhwm0e2xdfd8Z0gA54uwvOkESpuXCwRcYisYhkXPQQs4oJpeDajTmtEXl900UXhqSeICN9TkD4gTI877rjg2UlbXr50J598cnj+NJt0I1J4ISTZrBsxGfcoUg6i/pJLLglP8mEq1iOIEfVMtbKpOOtd48bYsCk2AmXixInhMGIQ8c8G7h6Q4/nwkJ133nnBC8cSB98+iDyIDp505Ps9ep5C3hGHv//974PnF7GLOMRYJ0m7eEJS9FzxOugrT1WiP4hIn5qHDzcvvsG5py/0nUCaCy+8MNTjY8R5gOhjD8+4d9Lr4Zzm5ggvonsr/ViadxeqPPkIEY/gpl64IOQJSOK7W6EcYcWaTf6e2bWAFzcfeGcZZ8RmfM1zKc4Nprwpt2vnrt4lvYuACDQCgWa5qZ7kBWyNULmqEIEoAQIW8HIRGJDFYxfdwxARVQrDi4bnFBGENyd+YUxbJ54h2ksZWTxNacvHs4bwQBT4VH3avLSNdZ14D6MCw/MjtHi8HgLIH0dJX8iHyEzrYfQ8CBqfGvc6ivXOeDGNjSiMC9y66mC6FH6MTZYtcOoqM+lYlvbhXUXwMrZXXXVVpr+NeN1Mc3Mepz3/srQzWhfrdvF+IoT5W2GaH88sHlZmD/JZsc6NxUtzm/a3TvaK5qtbv4uACDSMgDyUDeOn3EUk4JGiWYvEo8arlIbwyeKZzNcWBA6vUhlCEEFYiBXSrkLYF5Ina38YryTvan3lIH4Qx6W2LO2bMGFCuAnZa6+9GiQm6RM3alm2Z8rSTgS8C3E889F9Ud0zXN/fULHODYnJUp/BKl8E1iQgQbkmE/0iAiIgAk2CAMFOjz/+eBCC8bXETaKB/2kE+2v+4x+5p9PkPLxDhgwJuzIgzvFwsqE9y1lYR1nfnqeF9Omsq88NG5mnyXvaoafYcdrsPA0qpRGBzAQkKDMjUwYREAERKC0B1gcTYe7R96wLLlaQWSlajmeStZijRo2y66+/PohHptVZR8kyCpZDEJRU6CxEKdqsMkVABIpLQIKyuDxVmgistQTwMCESSrm2cK2Fl7FjBFIhJllnSrAOQTtN3dg6iOl0tq+aNm1aiPBmPTS/ITYLXYpRX79vvfim+pLouAiIQCMQUFBOI0BWFSIgAiKQlQDbMbGNk0wEREAEKoGANjavhFFSG0VABKqOgMRk1Q25OiwCFU1AgrKih0+NFwEREAEREAEREIHyE5CgLP8YqAUiIAIiIAIiIAIiUNEEJCgrevjUeBEQAREQAREQAREoPwEJyvKPgVogAiIgAiIgAiIgAhVNQIKyoodPjRcBERABERABERCB8hOQoCz/GKgFIiACIiACIiACIlDRBCQoK3r41HgREAEREAEREAERKD8BCcryj4FaIAIiIAIiIAIiIAIVTUCCsqKHT40XAREQAREQAREQgfITkKAs/xioBSIgAiIgAiIgAiJQ0QQkKCt6+NR4ERABERABERABESg/AQnK8o+BWiACIiACIiACIiACFU1AgrKih0+NFwEREAEREAEREIHyE5CgLP8YqAUiIAIiIAIiIAIiUNEEJCgrevjUeBEQAREQAREQAREoPwEJyvKPgVogAiIgAiIgAiIgAhVNQIKyEYav9ewxxkvWNAj88MMP9uWXX9pPP/3UNBqkVoiACIiACIhAhRNo9s0336yq8D5URPNdVC7tNtB4VbstWrRoDQTNmjWztm3brvF7sX6YPHmy3Xvvvfbtt9+GIjfeeGP74x//WKziVU4DCbz55ps2cuRI22yzzeziiy9uYGnFz75ixQqbPW+2zZ0/z7p26mJdO3e15s11T1580ipRBESgEgm0rMRGV2KbEZEtFkwJnkrEZTULy+XLl9uFF16YOIwIyvXXX9+23XZbO+igg2zddddNTJf1x7lz59o///lPW7ZsmbVu3dq2335769q1a9ZilL4KCaxatcqenPC03TvmPvvp5wU1BNZfb30bOugM67fzvjW/6YMIiIAIVCsBCcpGHHlEZLvP/xVqlMdyNfhu3bpZmzZtwhcu3ExHz5w5M7xeeeUVO++882zrrbdu8CiNGzcuiMkNN9wweL9K6QltcGNVQJMiMHrsA/bfz90b2tR53U7Wq/s29t7nk2xezlM54p5rrV2btrbbtrs2qTarMSIgAiLQ2AQkKBuR+IoOPY0Xnkq3aheWgwcPtp49ezqO8D579my75557bMqUKXbHHXfYpZdeau3atauVJusXysR22WWXkk6rZ22X0jdtAvMXzs95JkeFRg459BQ7rv8xxtKMxUuX2HWjr7cJkyba7U/dKUHZtIdRrRMBEWgEAloA1AiQo1XkWz+JsOzw7sUK3snBwmt59tlnB+H3/fff2yeffBJFWNDnhQsXhnwbbbRRQfmVqToJfDn7q5wHsp1t2GlDG7TP4UFMQqJt6zZ28B4HBSgz5ky3pcuXVScg9VoEREAE/kNAHspGPhWSvJTRJlS7x9JZsHaye/fu9tlnn4XpbzyLUUMgvvjii/bRRx/ZggULjAAbPJ0HHnigtWjRoibpI488EoJwPBDnpZdeskmTJoXjp556ai1vZS5AzV544QWbNm2aEYCx6aab2k477WS77bZbTXl8oG48qNiZZ55pzz33XGgHgUZ4U6OBGohh6pw1a1bwslLmfvvtZ1tssUXI7/+MHz8+COc999zTevXqZWPGjAke2nnz5lmXLl1s7733tr59+3ryWu+LFy8Oeanr888/D0sICGw5+OCDbYMNNqiV1r+k5efp63pP20cvg+j6559/3qZOnWowo6377lv/OkSCdt577z2bPn26de7cOYw3fYQd3mzGPu7tZhxff/11e+ONN4x1tKzPpT7W56633nrepLzvO261g937p7sSj/fotnnN78tzgrJ1y1Y13/VBBERABKqNgARlGUY8upYyX/USllbjDSKQJmo///yzXXvttTZnzpyQZp111rEPPvggvN59910755xzrGPHjiELkd1ff/21sT4T++qrr8J3PhMc5MY2Qtddd11YZ9myZUtr1aqVITDffvtt+/DDDw3x6UKR9iBssNtuu63ms5fl76zbvP/++8NXpuxZH0r9CJxjjz3W+vfv70lDmyiTtZ2PPfaYMUVPfStXrrTvvvvOPv74Y0NcDhw4sCYPH5YuXWo33HBD2AaJ79SDSKM/1DNkyJAwzc8xtyz8PE++9yx9pIwZM2bYTTfdZHieMVjT17feemsNMRgS5P5h7B544AGjLjdYMLbvv/9++Il1t7vuWnsdI/mIGn/nnXdCmg4dOgTBzU0K4vSss86yrbbayovM/D5pyochz+Y5Ydm+bfvM+ZVBBERABNYmAhKUTXw0q1VY4sVCfGGbbLJJzSghAm+++eYgJvfZZ58gzBBhCBTEwxdffGGPPvpoEFJkuuiii0LeESNGBJGFMMQLGDU8V4gcxNuJJ55olIuXk7IQjHi38BriJYwbgmbAgAEhKh1hy/o6DC8oIghhe9ppp9k222wThNFrr70Wti568MEHbbvttlsj0pzjPXr0sPPPPz/kwRuHtxKh/MwzzwTvpgcUuWBCPBK4RN/wSOINxSuK5+7uu+8Onl6CkbCs/EKmPP9k7SPtvfPOO8NY4amlvbwjmAnAop8Y6aJG3xGTsB00aFBgQKQ+3li2gUJcJhneacTklltuGcYABgjwhx9+OLC566677PLLL6/l0U4qJ+k31lbekVs7iR20e22Rn5Rev4mACIjA2k5AayjLMMJMe2e1alpjiefxlltuMaZymdqMTvWOHTs2CL1OnTrZSSedVDNlTTq8fhgC0Ke403C+777cdjA5Acu0er9+/WoEBt6rAw44IBTx9NNPryF0OHDUUUfZ8ccfbzvssEMQLogeplkRtwijww47LIhRfsfjiChFSCJeEYhxQxCee+65IQ3eux45cUkdGDzwmroh6BC0LA9AgPr0NtP/CGOE+JIlSwIPz1MsfoX0EQ8sHkrE4AUXXBCmnuHClP7RRx8dhKK3099h+NRTT4WvjMUhhxxiCHc8yHAcPnx4zTngeXhnOp3lC9gpp5xiLqipm/HCk4uQxYub1RYsWmBX3Ppf9t2Pc22XXn1yaysPy1qE0ouACIjAWkegyXso28x4wmzl0rUOfs6HmAAACjFJREFUfKEdco/lynab2uIeJ9vKNqs9T4WWV+58TAl7BDfigWlhPIYILrx6ePcQVm54DTHW3PkUtB9jXSLCAaHAOkiESn1GnYgPDDEZN6ZR8XjiBfvxxx8NIRs11kPGDa8iQg5P4u677x4/HNZkMo3u9UYT7LzzzsbUbNToh/cLNr7+kj5ieFQRWHE78sgjbeLEiSXhV0gfWZaAwQRRGDe8rC+//HKNl5fjMMfjiuEJjht7ieIFRmwjTt38PMGzHA/EwvvMzcOECRPCGCR5nr2c+Dvny/+86xqbMnOqde+6mf3+xN/WqjeeXt9FQAREoFoI/P8rdRPscau5r1urb19ugi0rf5OaL5ph7T/+X7Zo62FhK6Lyt6iwFrC+Mcn22GOP4FmKi0amdzGEhnuuovl9OhjhlcYQK4gRBNmnn34aXvF8CF7WHVJmXFDG0/LdhR5Cx6dxo+moD2OaHoESFULRdNHPLrrxDLr5kgCi4pMMrymvqBWLXyF99DEhKCateR76T0BNWvP2cTOSdJ541L+Xn7bcpyY+bZO++MDY1PzKc/5sHTusXqubNr/SiYAIiMDaSqBJC8rl6/aylrnp4WZroYey+c/TG3ROrWreJve0nQMrWkwCgAAa97jxnYjpF3PR23jA4kILAUZEN4Ynqy5DcKYx6sEItEkSHtEy0pbpIpnp6brKZD0j/Sn0aUDuufMApGhbkz4Xk18hfaR+LE10tbffmWfJQ15vH7sA8MpnXn6+4/Hfn3nt+fDTiQceb5061PZWx9PquwiIgAhUE4EmLShXte4UPHBr44Cw52QhxvpLosQLWYdZSH2lzsPUZ1QssOaQwBSidl999dVagTDRad2hQ4cmrp3z9rKmMo15maw/ZE1mXUYASRpjnR7GlkNJ0+jRMtzzGP0t7WemxhFE7vGsL5/3lXQN5VdIH2kvyxEIjElrPv2fJQ9le18PPfTQvNHjpPN+8Lk+w5s8a+7q6fde3XvVl1zHRUAERKCqCDRpQVlVI1FPZ9c2IZmvu+3btw97BLJ1zhNPPBG2gvGLPuICAcp0JYKRgJWGmq+vmz9/fojUjntFCynfy8TrSeBIqYy1lQS55ItyjtdbTH6F9JF1oExFIyrTmk9zI5zx6EbX09ZVBssA2I4IYVnMMfjbeVeFant026Ku6nVMBERABKqOgKK8yzDkBNakNYQk6yQrfa1k2v6SjuALpnEREfE1iJtvvnoz6XxT3gTzsA9jWiOog3WXiD+iw5OM8ig3rfkUPvsd5os2Z01mQ81ZsIdjkj300EMhCnr06NE1hz1PQ/kV0kevG854++KGqI8bgpIlAfBn78i4MW5J4+114e2OrjuN5s86BtxsbLVpz/CKbp4fLVOfRUAERKBaCUhQNtGRr0Yh6UOBR5Kpb4ytX6JCgy10CNRBKMRFEeLi1ltvtauvvjqvkPM6/B2PF3sbYggwnrgSNYI22MPyxhtvrLURejRN/DOeU6K18aiNzG0fROR61Nik/Iorrgge2OjvWT+zMTpii2hxtgOKGmsI2YsSi0aaF4tfIX0kIh4vKdtCsRdkVFQSlf3444+H9kZ/Z6x5Ag7GcZZCuCEyb7/99przI5qPmxK82KxjZa9Kzo2oPfvss3bZZZfVPDUpeqyuz2wVNHXWtLqS6JgIiIAIVCUBTXmXYdjr8lBWy9R2fdjZygUxifh48skn7eSTTw5ZiBA+/PDDgxhj/0hEJd4yAj4QVnirEFC+J2N99XB8//33D4EbBG/wtBy2K8JzyXQykdR4uNgDMe10K2Wy1yH5iaq+8sorQ5mIKdrIVCxrJ3v37k3Sgq1NmzZhv0lEK2IYDx6Pq6TNHpTCvo1s7O1WTH5Z+8iNAnuFstk6Apg9NGkvPAgwQhzHhR/tZnzwasITcU9/KIuNzVlbybR2PB/HBw8eHG4wWIvLU3XYVxTRST5EPmti3dPqfOp6X7x0sZ03YrgtWbYkRHjv2LN2BH1deXVMBERABNZ2Ai0uvPDCP63tnWxK/UNMtlhQ2wtG+xCSSzY/IQTcrGqdLqCkKfUrS1vwLPmm3gjHpAAapheZ9ubRhwgJ9g1EkGHsV8iLCG08Vggo1uWxRg/xgdCJbzfEnoNMoeM5jG9bQ108r5vyqYsXZbLZOYIHERR9ug5BMO4R5FnSSUITwUjfELiIJdqKyKPvCNbTTz/dfFqWPrFJOccRS0lr/niSDJ7aPn36BCFEHoy1gjvuuGNoM3UgYGk3fTzmmGNqNmZfnXr1v4Xwi+b3z1n7SD5EHP1GWOP9RUwiCgle4kYB8UeQVjSYielltpEiPR5HlhFwo8FNw7Bhw4JAZF0te4ZGt1BijSnjSh7qgS/nC+3mPOA57H5OeZ/qem9mzeyFt8ba8twNxhH7HqYo77pg6ZgIiEDVEWiW+892zcVMVYeh8Tocj+6WR7Jh7PFMubjwPSgbVqKFPSfxeCJOirVWjvIQTng+ixH4k9RHPKmIJwQ6oimNFZNf1j4ikBHcWZh4H9kPlAAu7A9/+EOIdOcxm1GRHu0/Qh4hyjmSdpulaH7/jIdz2fJl1rrV6kh+/13vIiACIlDtBDTl3YhnQHSqW0KyOOCZ7ky7nU/aGhEqLlbS5qkvXZIXtr48WY8jfqPPPU+Tv5j8svYRT2R0y6i62suUNU+9ifeRNa94jBHpUe9kvCw81h6ZHj+W5Tv1SExmIaa0IiAC1UJAgrKRRhoxyUtCspGAq5q1hsC4ceOMR3SynIFgLZ+mZgqb9ZgYx1g3WUx74+M37S8jV28TlKbc0X+5x9q2bpsmqdKIgAiIwFpHQIKyEYbU101W09Y/jYBVVVQJgb59+4a1tESt82JtJFP1Hj1PYA3PLZeJgAiIgAiUj4DWUDYCe4Jw8EzKREAECiPA2snx48eHABw2R2dNJFPcBNfgnSzVutTCWqtcIiACIlB9BCQoq2/M1WMREAEREAEREAERKCoBbWxeVJwqTAREQAREQAREQASqj4AEZfWNuXosAiIgAiIgAiIgAkUlIEFZVJwqTAREQAREQAREQASqj4AEZfWNuXosAiIgAiIgAiIgAkUlIEFZVJwqTAREQAREQAREQASqj4AEZfWNuXosAiIgAiIgAiIgAkUlIEFZVJwqTAREQAREQAREQASqj4AEZfWNuXosAiIgAiIgAiIgAkUlIEFZVJwqTAREQAREQAREQASqj0BzPbKs+gZdPRYBERABERABERCBYhJovmrVqmKWp7JEQAREQAREQAREQASqjEDznJlEZZWNurorAiIgAiIgAiIgAkUkEAQlolImAiIgAiIgAiIgAiIgAoUQCGsoEZQSlYXgUx4REAEREAEREAEREIHmK1asCFPeTHtr6lsnhAiIgAiIgAiIgAiIQFYCzc8599zgnWzZsqW1aNEia36lFwEREAEREAEREAERqHICLSZPnvynZrkp73323jugwEuprYSq/KxQ90VABERABERABEQgA4H/B9lRrhSjx0chAAAAAElFTkSuQmCC",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 13,
     "metadata": {
      "image/png": {
       "width": 400
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Image('./imgs/graph-legend.png', width=400)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "3ed07c32",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-11-22T13:55:20.259150Z",
     "start_time": "2023-11-22T13:55:20.242237Z"
    }
   },
   "outputs": [],
   "source": [
    "class VAE(nn.Module):\n",
    "    def __init__(self):\n",
    "        super(VAE, self).__init__()\n",
    "        # 28*28 ==> 784\n",
    "        # fc1 => fc21\n",
    "        # fc1 => fc22\n",
    "        self.fc1 = nn.Linear(784, 400)\n",
    "        \n",
    "        # mu\n",
    "        self.fc21 = nn.Linear(400, 20)\n",
    "        \n",
    "        # logvar\n",
    "        self.fc22 = nn.Linear(400, 20)\n",
    "        \n",
    "        self.fc3 = nn.Linear(20, 400)\n",
    "        self.fc4 = nn.Linear(400, 784)\n",
    "\n",
    "    def encode(self, x):\n",
    "        h1 = F.relu(self.fc1(x))\n",
    "        return self.fc21(h1), self.fc22(h1)\n",
    "\n",
    "    def reparameterize(self, mu, logvar):\n",
    "        std = torch.exp(0.5*logvar)\n",
    "        eps = torch.randn_like(std)\n",
    "        return mu + eps*std\n",
    "\n",
    "    def decode(self, z):\n",
    "        h3 = F.relu(self.fc3(z))\n",
    "        return torch.sigmoid(self.fc4(h3))\n",
    "    \n",
    "    # DAG\n",
    "    def forward(self, x):\n",
    "        mu, logvar = self.encode(x.view(-1, 784))\n",
    "        z = self.reparameterize(mu, logvar)\n",
    "        return self.decode(z), mu, logvar"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "a435ec4b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-11-22T13:55:22.304122Z",
     "start_time": "2023-11-22T13:55:22.198186Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/whaow/anaconda3/lib/python3.10/site-packages/torch/jit/_trace.py:1084: TracerWarning: Output nr 1. of the traced function does not match the corresponding output of the Python function. Detailed error:\n",
      "Tensor-likes are not close!\n",
      "\n",
      "Mismatched elements: 784 / 784 (100.0%)\n",
      "Greatest absolute difference: 0.19993644952774048 at index (0, 499) (up to 1e-05 allowed)\n",
      "Greatest relative difference: 0.35599164221982305 at index (0, 191) (up to 1e-05 allowed)\n",
      "  _check_trace(\n"
     ]
    }
   ],
   "source": [
    "writer = SummaryWriter('runs/model_visualization')\n",
    "vae = VAE()\n",
    "inputs = torch.randn(1, 28, 28)\n",
    "writer.add_graph(vae, inputs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "77106ffc",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-11-22T14:05:40.617703Z",
     "start_time": "2023-11-22T13:55:36.722733Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TensorFlow installation not found - running with reduced feature set.\n",
      "\n",
      "NOTE: Using experimental fast data loading logic. To disable, pass\n",
      "    \"--load_fast=false\" and report issues on GitHub. More details:\n",
      "    https://github.com/tensorflow/tensorboard/issues/4784\n",
      "\n",
      "Serving TensorBoard on localhost; to expose to the network, use a proxy or pass --bind_all\n",
      "TensorBoard 2.13.0 at http://localhost:6006/ (Press CTRL+C to quit)\n",
      "^C\n"
     ]
    }
   ],
   "source": [
    "!tensorboard --logdir=runs"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "99ab4e58",
   "metadata": {},
   "source": [
    "`ssh -L 6006:localhost:6006 server`"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4a88f355",
   "metadata": {},
   "source": [
    "## `add_hparams`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cebd7105",
   "metadata": {},
   "outputs": [],
   "source": [
    "writer = SummaryWriter()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "39382c74",
   "metadata": {},
   "outputs": [],
   "source": [
    "# writer.add_hparams(vars(args), {'0': 0})"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.13"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
